From 007b5a7e6bb620912cddda33e67f788cdeb5b73b Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Sun, 9 Feb 2025 13:05:58 +0100
Subject: [PATCH 01/18] split coding into dev tools and coding puzzles; fix
 intra-links to scroll to top

---
 src/components/layout/Navigation.tsx                   | 10 ++++++++--
 src/content/posts/2017-11-06-python-tips-tricks.md     |  2 +-
 src/content/posts/2017-12-20-christmas-routes.md       |  2 +-
 src/content/posts/2018-04-08-dc-dungeon-code.md        |  3 +--
 src/content/posts/2019-02-08-data-science-in-remote.md |  8 +++-----
 ...1-06-12-use-python-without-installing-on-windows.md |  2 +-
 src/content/posts/2022-05-28-graph-ql.md               |  1 -
 src/utils/constants.ts                                 |  6 ++++--
 8 files changed, 19 insertions(+), 15 deletions(-)

diff --git a/src/components/layout/Navigation.tsx b/src/components/layout/Navigation.tsx
index c842fae..8c92233 100644
--- a/src/components/layout/Navigation.tsx
+++ b/src/components/layout/Navigation.tsx
@@ -1,10 +1,16 @@
-import { useContext, useState } from 'react';
-import { NavLink } from 'react-router-dom';
+import { useContext, useEffect, useState } from 'react';
+import { NavLink, useLocation } from 'react-router-dom';
 import { DarkModeContext } from '../../utils/darkMode';
 
 export default function Navigation() {
   const { isDarkMode, toggleDarkMode } = useContext(DarkModeContext);
   const [isMenuOpen, setIsMenuOpen] = useState(false);
+  const location = useLocation();
+
+  // Scroll to top on route change
+  useEffect(() => {
+    window.scrollTo(0, 0);
+  }, [location.pathname]); 
 
   const toggleMenu = () => setIsMenuOpen(!isMenuOpen);
   const closeMenu = () => setIsMenuOpen(false);
diff --git a/src/content/posts/2017-11-06-python-tips-tricks.md b/src/content/posts/2017-11-06-python-tips-tricks.md
index 9dbba6a..d65a812 100644
--- a/src/content/posts/2017-11-06-python-tips-tricks.md
+++ b/src/content/posts/2017-11-06-python-tips-tricks.md
@@ -3,7 +3,7 @@ title: Python Tips & Tricks
 date: 2017-11-06T00:00:00+00:00
 permalink: /posts/python-tips-tricks
 categories:
-  - Coding
+  - Dev tools
 isPinned: false
 ---
 
diff --git a/src/content/posts/2017-12-20-christmas-routes.md b/src/content/posts/2017-12-20-christmas-routes.md
index e21d63b..e371d3f 100644
--- a/src/content/posts/2017-12-20-christmas-routes.md
+++ b/src/content/posts/2017-12-20-christmas-routes.md
@@ -3,7 +3,7 @@ title: Christmas routes
 date: 2017-12-20T22:43:43+00:00
 permalink: /posts/christmas-routes/
 categories:
-  - AI
+  - Coding puzzles
 heroImage: /content/santa.jpg
 heroImageWidth: 80%
 heroImageHeight: 50%
diff --git a/src/content/posts/2018-04-08-dc-dungeon-code.md b/src/content/posts/2018-04-08-dc-dungeon-code.md
index 608223b..0129a3a 100644
--- a/src/content/posts/2018-04-08-dc-dungeon-code.md
+++ b/src/content/posts/2018-04-08-dc-dungeon-code.md
@@ -3,8 +3,7 @@ title: "DC: Dungeon & Code"
 date: '2018-04-08 22:43:44 +0100'
 permalink: /posts/dc-dungeon-code/
 categories:
-- Coding
-- AI
+- Coding puzzles
 heroImage: /content/yX1T7D.png
 heroImageWidth: 70%
 ---
diff --git a/src/content/posts/2019-02-08-data-science-in-remote.md b/src/content/posts/2019-02-08-data-science-in-remote.md
index 6e82da8..99b28d1 100644
--- a/src/content/posts/2019-02-08-data-science-in-remote.md
+++ b/src/content/posts/2019-02-08-data-science-in-remote.md
@@ -3,9 +3,7 @@ title: Data Science in remote
 date: '2019-02-08 00:00:00 +0000'
 permalink: /posts/data-science-in-remote/
 categories:
-- AI
-- Coding
-- Work
+- Dev tools
 isPinned: true
 ---
 
@@ -70,8 +68,8 @@ The main application of having a server is not only to run experiments when you'
 
 ## Notebooks
 
-As explained in
-<a href="https://marctorrellas.github.io/posts/python-tips-tricks/">this post</a>, Jupyter notebooks are very powerful tools for Python easy prototyping, but also for intensive development. However, one typically runs the jupyter server in local, and connect via browser. How do we do this when we want the Python to run in our remote box?
+As explained in the Python tips and tricks
+<a href="/posts/python-tips-tricks/">post</a>, Jupyter notebooks are very powerful tools for Python easy prototyping, but also for intensive development. However, one typically runs the jupyter server in local, and connect via browser. How do we do this when we want the Python to run in our remote box?
 
 1. Install Jupyter lab in the remote box to be able to run the notebook server: `conda install jupyterlab`
 
diff --git a/src/content/posts/2021-06-12-use-python-without-installing-on-windows.md b/src/content/posts/2021-06-12-use-python-without-installing-on-windows.md
index e676328..9b69225 100644
--- a/src/content/posts/2021-06-12-use-python-without-installing-on-windows.md
+++ b/src/content/posts/2021-06-12-use-python-without-installing-on-windows.md
@@ -3,7 +3,7 @@ title:  Python without installing on Windows
 date: 2021-06-11T19:04:03+00:00
 permalink: /posts/cx_freeze/
 categories:
-  - Coding
+  - Dev tools
 heroImage: /content/tremp.jpeg
 heroImageWidth: 60%
 ---
diff --git a/src/content/posts/2022-05-28-graph-ql.md b/src/content/posts/2022-05-28-graph-ql.md
index 3cf6de3..bb3fd1e 100644
--- a/src/content/posts/2022-05-28-graph-ql.md
+++ b/src/content/posts/2022-05-28-graph-ql.md
@@ -6,7 +6,6 @@ header:
   image: /content/hackathon.png
 categories:
   - Work
-  - Coding
 ---
 
 Nowadays, it is common in many startups to have playground events for engineers to encourage 
diff --git a/src/utils/constants.ts b/src/utils/constants.ts
index 7ef9104..3edc524 100644
--- a/src/utils/constants.ts
+++ b/src/utils/constants.ts
@@ -1,4 +1,3 @@
-export const CATEGORIES = ['Academia', 'AI', 'Coding', 'Maths', 'Off-topic', 'Work'];
 export const POSTS_PER_PAGE = 5;
 
 export const categoryColors: { [key: string]: string } = {
@@ -6,6 +5,9 @@ export const categoryColors: { [key: string]: string } = {
   'Academia': 'bg-blue-100 text-blue-800 dark:bg-blue-900 dark:text-blue-300',
   'Work': 'bg-green-100 text-green-800 dark:bg-green-900 dark:text-green-300',
   'Maths': 'bg-purple-100 text-purple-800 dark:bg-purple-900 dark:text-purple-300',
-  'Coding': 'bg-pink-100 text-pink-800 dark:bg-pink-900 dark:text-pink-300',
+  'Dev tools': 'bg-yellow-100 text-yellow-800 dark:bg-yellow-900 dark:text-yellow-300', 
+  'Coding puzzles': 'bg-red-100 text-red-800 dark:bg-red-900 dark:text-red-300', 
   'AI': 'bg-cyan-100 text-cyan-800 dark:bg-cyan-900 dark:text-cyan-300'
 };
+
+export const CATEGORIES = Object.keys(categoryColors); 

From e75c21fb19a74aed623a9e7eaef3b7b1a2e86173 Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Sun, 9 Feb 2025 16:10:27 +0100
Subject: [PATCH 02/18] commit only new DS on remote page

---
 ... 2019-02-08-data-science-on-remote-old.md} |   6 +-
 .../2025-02-08-data-science-on-remote.md      | 120 ++++++++++++++++++
 src/utils/constants.ts                        |   2 +-
 3 files changed, 124 insertions(+), 4 deletions(-)
 rename src/content/posts/{2019-02-08-data-science-in-remote.md => 2019-02-08-data-science-on-remote-old.md} (98%)
 create mode 100644 src/content/posts/2025-02-08-data-science-on-remote.md

diff --git a/src/content/posts/2019-02-08-data-science-in-remote.md b/src/content/posts/2019-02-08-data-science-on-remote-old.md
similarity index 98%
rename from src/content/posts/2019-02-08-data-science-in-remote.md
rename to src/content/posts/2019-02-08-data-science-on-remote-old.md
index 99b28d1..376c417 100644
--- a/src/content/posts/2019-02-08-data-science-in-remote.md
+++ b/src/content/posts/2019-02-08-data-science-on-remote-old.md
@@ -1,10 +1,10 @@
 ---
-title: Data Science in remote
+title: Data Science on remote (OLD)
 date: '2019-02-08 00:00:00 +0000'
-permalink: /posts/data-science-in-remote/
+permalink: /posts/data-science-in-remote-old/
 categories:
 - Dev tools
-isPinned: true
+isPinned: false
 ---
 
 Today we'll see some tips and tricks when working (but not only) on
diff --git a/src/content/posts/2025-02-08-data-science-on-remote.md b/src/content/posts/2025-02-08-data-science-on-remote.md
new file mode 100644
index 0000000..a3b5c23
--- /dev/null
+++ b/src/content/posts/2025-02-08-data-science-on-remote.md
@@ -0,0 +1,120 @@
+---
+title: Data Science on remote
+date: '2025-02-08 00:00:00 +0000'
+permalink: /posts/data-science-in-remote/
+categories:
+- Dev tools
+isPinned: false
+---
+
+In this post, we'll see some tips and tricks that I use when working (but not only) on remote.
+
+*Disclaimer: all info written in this post assumes a Mac as your local, and Ubuntu as remote. Most of it should work also with other combinations of these two.*
+
+## Why Work on a Remote Machine?
+
+There are several reasons to work on a remote machine, including:
+
+- **Resource Limitations:** Running computationally heavy tasks that require more CPU, memory, or storage than your local machine can handle.  
+- **Accessibility:** Accessing your environment from different locations when you're away from your primary computer.  
+- **Collaboration:** Sharing a centralized machine with other team members for easier data and environment access.  
+- **Security:** Using secure remote environments for sensitive data that shouldn't reside on a local device.  
+- **Scalability:** Leveraging cloud-based resources that can be scaled up or down depending on workload needs.  
+ 
+## Accessing a Remote Machine
+
+To access a remote server, you can use:
+
+```bash
+ssh username@ip_address
+```
+
+This requires entering your password, but you can set up passwordless access using SSH keys:
+
+1. Generate an SSH key pair locally:
+   ```bash
+   ssh-keygen -t rsa
+   ```
+2. Create the `.ssh` directory on the remote machine:
+   ```bash
+   ssh username@ip_address 
+   mkdir -p .ssh
+   ```
+3. Copy the public key to the remote machine:
+   ```bash
+   cat .ssh/id_rsa.pub | ssh username@ip_address 'cat >> .ssh/authorized_keys'
+   ```
+
+## Simplifying SSH with Configuration
+
+Instead of typing full SSH commands, configure shortcuts in `~/.ssh/config`:
+
+```bash
+Host marc
+  HostName ip_address
+  User username
+  IdentityFile ~/.ssh/id_rsa
+```
+
+Now you can simply use:
+
+```bash
+ssh marc
+```
+
+## File Transfer
+
+### Using `scp`
+
+Transfer files between your local machine and the remote server.
+
+- From remote to local:
+  ```bash
+  scp marc:~/titanic.log .
+  ```
+- From local to remote:
+  ```bash
+  scp -r ~/experiments/results marc:~/results/
+  ```
+
+### Using `rsync`
+
+Synchronize directories efficiently with `rsync`. The following command synchronizes files from the remote machine to the local directory, skipping files that already exist:
+
+```bash
+rsync -arv --ignore-existing --progress marc:/home/marc/results experiments/results/
+```
+
+## Running Shells in the Background
+
+Running long processes remotely requires keeping them active even if the connection drops. Use `tmux` to manage persistent sessions.
+
+### `tmux` Commands
+
+- List sessions:
+  ```bash
+  tmux ls
+  ```
+- Create a new session:
+  ```bash
+  tmux new -s name
+  ```
+- Attach to an existing session:
+  ```bash
+  tmux attach -t name
+  ```
+- Detach from a session (Control + b, then d)
+- Kill all sessions:
+  ```bash
+  killall tmux
+  ```
+- Scrolling: Enter scroll mode with `Control + b` followed by `[`. Navigate using arrow keys. To exit scroll mode, press `q`.
+
+With these tools and techniques, you'll be more efficient and productive when working remotely.
+
+
+ ## Conclusion
+
+In this post, I have shown some of the tricks I have learned in the recent years for working on remote and with Jupyter notebooks.
+
+As always, any recommendation, suggestion or improvement, please let me know. Thanks for reading!
diff --git a/src/utils/constants.ts b/src/utils/constants.ts
index 3edc524..81408c4 100644
--- a/src/utils/constants.ts
+++ b/src/utils/constants.ts
@@ -10,4 +10,4 @@ export const categoryColors: { [key: string]: string } = {
   'AI': 'bg-cyan-100 text-cyan-800 dark:bg-cyan-900 dark:text-cyan-300'
 };
 
-export const CATEGORIES = Object.keys(categoryColors); 
+export const CATEGORIES = Object.keys(categoryColors).sort(); 

From bafc60845301bf0616cf58ee730f7d5a8d940efa Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Sun, 9 Feb 2025 16:31:01 +0100
Subject: [PATCH 03/18] fix warning in console for Blog

---
 src/pages/Blog.tsx     | 16 +++++----
 src/utils/postUtils.ts | 80 ++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 89 insertions(+), 7 deletions(-)
 create mode 100644 src/utils/postUtils.ts

diff --git a/src/pages/Blog.tsx b/src/pages/Blog.tsx
index 5507dde..c33a378 100644
--- a/src/pages/Blog.tsx
+++ b/src/pages/Blog.tsx
@@ -80,13 +80,15 @@ export default function Blog() {
         ? prev.filter(c => c !== category)
         : [...prev, category];
       
-      // Update URL parameters
-      if (newCategories.length === 1) {
-        setSearchParams({ category: newCategories[0] });
-      } else if (newCategories.length === 0) {
-        setSearchParams({});
-      }
-      
+      // Use a separate effect for updating URL params
+      setTimeout(() => {
+        const params = new URLSearchParams();
+        if (newCategories.length > 0) {
+          params.set('category', newCategories.sort().join('&'));
+        }
+        setSearchParams(params);
+      }, 0);
+  
       return newCategories;
     });
   };
diff --git a/src/utils/postUtils.ts b/src/utils/postUtils.ts
new file mode 100644
index 0000000..d9be21f
--- /dev/null
+++ b/src/utils/postUtils.ts
@@ -0,0 +1,80 @@
+import { Post } from '../types/Post';
+import { getPosts } from './PostLoader';
+import frontMatter from 'front-matter';
+
+export interface PostAttributes {
+  title: string;
+  date: string;
+  categories: string[];
+  permalink?: string;
+  heroImage?: string;
+  heroImageWidth?: string;
+}
+
+export async function getAllPosts(): Promise<Post[]> {
+  return getPosts();
+}
+
+export async function getPost(slug: string): Promise<Post> {
+  const DEBUG = false;
+  try {
+    if (DEBUG) console.log('🔍 Looking for post with slug:', slug);
+    
+    const allPosts = await getPosts();
+    const postByPermalink = allPosts.find(post => {
+      const cleanPermalink = post.permalink.replace(/^\/|\/$/g, '').split('/').pop();
+      const cleanSlug = slug.replace(/^\/|\/$/g, '').split('/').pop();
+      if (DEBUG) console.log(`Comparing ${cleanPermalink} with ${cleanSlug}`);
+      return cleanPermalink === cleanSlug;
+    });
+
+    if (postByPermalink) {
+      if (DEBUG) console.log('✅ Found post by permalink');
+      return postByPermalink;
+    }
+
+    const markdownFiles = import.meta.glob('/src/content/posts/*.md', {
+      query: '?raw',
+      import: 'default'
+    });
+
+    const filepath = Object.keys(markdownFiles).find(path => 
+      path.includes(slug) || path.endsWith(`${slug}.md`)
+    );
+
+    if (!filepath || !markdownFiles[filepath]) {
+      console.error(`❌ Post not found with slug: ${slug}`);
+      throw new Error(`Post not found: ${slug}`);
+    }
+
+    const content = await markdownFiles[filepath]() as string;
+    return parseMarkdownFile(content, filepath);
+  } catch (error) {
+    console.error('Error loading post:', error);
+    throw error;
+  }
+}
+
+export function parseMarkdownFile(content: string, filepath: string): Post {
+  const { attributes, body } = frontMatter<PostAttributes>(content);
+
+  if (!attributes || !attributes.title || !attributes.date) {
+    console.error('❌ Missing required frontmatter in post:', filepath);
+    throw new Error('Invalid post format');
+  }
+
+  const post: Post = {
+    title: attributes.title,
+    date: new Date(attributes.date).toISOString(),
+    categories: attributes.categories || ['Uncategorized'],
+    content: body,
+    permalink: attributes.permalink || filepath
+      .replace('/src/content/posts/', '')
+      .replace('.md', ''),
+    filename: filepath.split('/').pop() || '',
+    heroImage: attributes.heroImage,
+    heroImageWidth: attributes.heroImageWidth
+  };
+
+  return post;
+}

From 7e94fff3d4eaed7a039efe017319dca4eb10316a Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Sun, 9 Feb 2025 16:32:25 +0100
Subject: [PATCH 04/18] remove postUtils for now

---
 src/utils/postUtils.ts | 80 ------------------------------------------
 1 file changed, 80 deletions(-)
 delete mode 100644 src/utils/postUtils.ts

diff --git a/src/utils/postUtils.ts b/src/utils/postUtils.ts
deleted file mode 100644
index d9be21f..0000000
--- a/src/utils/postUtils.ts
+++ /dev/null
@@ -1,80 +0,0 @@
-import { Post } from '../types/Post';
-import { getPosts } from './PostLoader';
-import frontMatter from 'front-matter';
-
-export interface PostAttributes {
-  title: string;
-  date: string;
-  categories: string[];
-  permalink?: string;
-  heroImage?: string;
-  heroImageWidth?: string;
-}
-
-export async function getAllPosts(): Promise<Post[]> {
-  return getPosts();
-}
-
-export async function getPost(slug: string): Promise<Post> {
-  const DEBUG = false;
-  try {
-    if (DEBUG) console.log('🔍 Looking for post with slug:', slug);
-    
-    const allPosts = await getPosts();
-    const postByPermalink = allPosts.find(post => {
-      const cleanPermalink = post.permalink.replace(/^\/|\/$/g, '').split('/').pop();
-      const cleanSlug = slug.replace(/^\/|\/$/g, '').split('/').pop();
-      if (DEBUG) console.log(`Comparing ${cleanPermalink} with ${cleanSlug}`);
-      return cleanPermalink === cleanSlug;
-    });
-
-    if (postByPermalink) {
-      if (DEBUG) console.log('✅ Found post by permalink');
-      return postByPermalink;
-    }
-
-    const markdownFiles = import.meta.glob('/src/content/posts/*.md', {
-      query: '?raw',
-      import: 'default'
-    });
-
-    const filepath = Object.keys(markdownFiles).find(path => 
-      path.includes(slug) || path.endsWith(`${slug}.md`)
-    );
-
-    if (!filepath || !markdownFiles[filepath]) {
-      console.error(`❌ Post not found with slug: ${slug}`);
-      throw new Error(`Post not found: ${slug}`);
-    }
-
-    const content = await markdownFiles[filepath]() as string;
-    return parseMarkdownFile(content, filepath);
-  } catch (error) {
-    console.error('Error loading post:', error);
-    throw error;
-  }
-}
-
-export function parseMarkdownFile(content: string, filepath: string): Post {
-  const { attributes, body } = frontMatter<PostAttributes>(content);
-
-  if (!attributes || !attributes.title || !attributes.date) {
-    console.error('❌ Missing required frontmatter in post:', filepath);
-    throw new Error('Invalid post format');
-  }
-
-  const post: Post = {
-    title: attributes.title,
-    date: new Date(attributes.date).toISOString(),
-    categories: attributes.categories || ['Uncategorized'],
-    content: body,
-    permalink: attributes.permalink || filepath
-      .replace('/src/content/posts/', '')
-      .replace('.md', ''),
-    filename: filepath.split('/').pop() || '',
-    heroImage: attributes.heroImage,
-    heroImageWidth: attributes.heroImageWidth
-  };
-
-  return post;
-}

From 669d24e5c0a43e4cab36aa4661ddb417819e18b6 Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Sun, 9 Feb 2025 16:39:40 +0100
Subject: [PATCH 05/18] split PostCard into multiple files

---
 src/components/MarkdownComponents.tsx | 138 +++++++++++++++++++
 src/components/Math.tsx               |  50 +++++++
 src/components/PostCard.tsx           | 187 +-------------------------
 3 files changed, 189 insertions(+), 186 deletions(-)
 create mode 100644 src/components/MarkdownComponents.tsx
 create mode 100644 src/components/Math.tsx

diff --git a/src/components/MarkdownComponents.tsx b/src/components/MarkdownComponents.tsx
new file mode 100644
index 0000000..900587c
--- /dev/null
+++ b/src/components/MarkdownComponents.tsx
@@ -0,0 +1,138 @@
+import React from 'react';
+import { Link } from 'react-router-dom';
+import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
+import { vscDarkPlus } from 'react-syntax-highlighter/dist/esm/styles/prism';
+import Math from './Math';
+import type { Components } from 'react-markdown';
+
+function processMathInText(text: string) {
+  const parts = text.split(/(\$\$[^\$]+\$\$|\\begin{[\s\S]*?\\end{[\s\S]*?}|\$[^\$]+\$)/g);
+
+  return parts.map((part, i) => {
+    if (part.startsWith('$$') || (part.startsWith('\\begin') && part.endsWith('\\end'))) {
+      // Block math
+      const mathContent = part.startsWith('$$')
+        ? part.slice(2, -2)
+        : part;
+      return <Math key={i} inline={false}>{mathContent}</Math>;
+    }
+    if (part.startsWith('$') && part.endsWith('$')) {
+      // Inline math
+      const mathContent = part.slice(1, -1);
+      return <Math key={i} inline={true}>{mathContent}</Math>;
+    }
+    // Plain text
+    return part;
+  });
+}
+
+const MarkdownComponents: Components = {
+  code({ node, inline, className, children, ...props }: any) {
+    const match = /language-(\w+)/.exec(className || '');
+    const content = String(children).trim();
+
+    // Handle math blocks
+    if (content.startsWith('$') && content.endsWith('$')) {
+      const mathContent = content.slice(1, -1);
+      return <Math inline={true}>{mathContent}</Math>;
+    }
+    if (content.startsWith('$$') && content.endsWith('$$')) {
+      const mathContent = content.slice(2, -2);
+      return <Math inline={false}>{mathContent}</Math>;
+    }
+    
+    const language = match ? match[1] : undefined;
+
+    return !inline && language ? (
+      <SyntaxHighlighter
+        style={vscDarkPlus}
+        language={language}
+        PreTag="div"
+        {...props}
+      >
+        {content}
+      </SyntaxHighlighter>
+    ) : (
+      <code className={`not-prose bg-gray-100 dark:bg-gray-700 px-1.5 py-0.5 rounded font-['Courier New'] text-black dark:text-white text-sm`} {...props}>
+        {children}
+      </code>
+    );
+  },
+  p(props) {
+    const { children, ...rest } = props;
+  
+    return (
+      <p {...rest}>
+        {React.Children.map(children, child => {
+          if (typeof child === 'string') {
+            // Process text for inline and block math
+            const parts = processMathInText(child);
+  
+            // Return all parts together (text and inline math)
+            return parts;
+          }
+          return child;
+        })}
+      </p>
+    );
+  },  
+  a(props) {
+    const { href, children, ...rest } = props;
+    if (href && href.startsWith('/')) {
+      return (
+        <Link to={href} {...rest}>
+          {children}
+        </Link>
+      );
+    }
+    return <a href={href} {...rest}>{children}</a>;
+  },
+
+  strong(props) {
+    const { children, ...rest } = props;
+    return (
+      <strong {...rest}>
+        {React.Children.map(children, child => {
+          if (typeof child === 'string') {
+            return processMathInText(child);
+          }
+          return child;
+        })}
+      </strong>
+    );
+  },
+  em(props) {
+    const { children, ...rest } = props;
+    return (
+      <em {...rest}>
+        {React.Children.map(children, child => {
+          if (typeof child === 'string') {
+            return processMathInText(child);
+          }
+          return child;
+        })}
+      </em>
+    );
+  },
+  i(props) {
+    const { children, ...rest } = props;
+    return (
+      <em {...rest}>
+        {React.Children.map(children, child => {
+          if (typeof child === 'string') {
+            return processMathInText(child);
+          }
+          return child;
+        })}
+      </em>
+    );
+  },
+  img(props) {
+    return (
+        <img {...props} style={{display: 'block', marginLeft: 'auto', marginRight: 'auto', maxWidth: '100%'}}/>
+
+    );
+  }
+};
+
+export default MarkdownComponents;
diff --git a/src/components/Math.tsx b/src/components/Math.tsx
new file mode 100644
index 0000000..a237c2b
--- /dev/null
+++ b/src/components/Math.tsx
@@ -0,0 +1,50 @@
+import katex from 'katex';
+import 'katex/dist/katex.min.css';
+
+function Math({ children, inline = false }: { children: string, inline?: boolean }) {
+  let html = '';
+  try {
+    html = katex.renderToString(children, {
+      displayMode: !inline,
+      throwOnError: false,
+      trust: true,
+      strict: false,
+      fleqn: false,
+      output: 'html',
+      maxSize: 10,
+      maxExpand: 1000,
+      globalGroup: true,
+      macros: {
+        "\\RR": "\\mathbb{R}",
+        "\\NN": "\\mathbb{N}",
+        "\\ZZ": "\\mathbb{Z}"
+      }
+    });
+  } catch (error) {
+    console.error('KaTeX render error:', error, 'Input LaTeX:', children);
+    html = `<span class="katex-error" style="color: #cc0000;">${children}</span>`;
+  }
+
+  return inline ? (
+    <span
+      dangerouslySetInnerHTML={{ __html: html }}
+      style={{
+        display: 'inline-block',
+        verticalAlign: 'middle',
+      }}
+    />
+  ) : (
+    <span
+      dangerouslySetInnerHTML={{ __html: html }}
+      className="katex-display"
+      style={{
+        margin: '0 auto',
+        textAlign: 'center',
+        overflowX: 'auto',
+        maxWidth: '100%',
+      }}
+    />
+  );
+}
+
+export default Math;
diff --git a/src/components/PostCard.tsx b/src/components/PostCard.tsx
index eb88ac4..469e6ca 100644
--- a/src/components/PostCard.tsx
+++ b/src/components/PostCard.tsx
@@ -1,64 +1,11 @@
-import React from 'react';
 import { Post } from '../types/Post';
 import ReactMarkdown from 'react-markdown';
 import { Link } from 'react-router-dom';
 import remarkGfm from 'remark-gfm';
-import katex from 'katex';
 import rehypeRaw from 'rehype-raw';
-import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
-import { vscDarkPlus } from 'react-syntax-highlighter/dist/esm/styles/prism';
-import 'katex/dist/katex.min.css';
-import type { Components } from 'react-markdown';
+import MarkdownComponents from './MarkdownComponents';
 import { categoryColors } from '../utils/constants';
 
-function Math({ children, inline = false }: { children: string, inline?: boolean }) {
-  let html = '';
-  try {
-    html = katex.renderToString(children, {
-      displayMode: !inline,
-      throwOnError: false,
-      trust: true,
-      strict: false,
-      fleqn: false,
-      output: 'html',
-      maxSize: 10,
-      maxExpand: 1000,
-      globalGroup: true,
-      macros: {
-        "\\RR": "\\mathbb{R}",
-        "\\NN": "\\mathbb{N}",
-        "\\ZZ": "\\mathbb{Z}"
-      }
-    });
-  } catch (error) {
-    console.error('KaTeX render error:', error, 'Input LaTeX:', children);
-    html = `<span class="katex-error" style="color: #cc0000;">${children}</span>`;
-  }
-
-  return inline ? (
-    <span
-      dangerouslySetInnerHTML={{ __html: html }}
-      style={{
-        display: 'inline-block',
-        verticalAlign: 'middle',
-      }}
-    />
-  ) : (
-    <span
-      dangerouslySetInnerHTML={{ __html: html }}
-      className="katex-display"
-      style={{
-        margin: '0 auto',
-        textAlign: 'center',
-        overflowX: 'auto',
-        maxWidth: '100%',
-      }}
-    />
-  );
-}
-
-
-
 function preprocessContent(content: string): string {
   // First, normalize line breaks in align environments
   let processed = content.replace(/\\\\(\s*\n\s*&)/g, '\\\\ &');
@@ -99,138 +46,6 @@ function preprocessContent(content: string): string {
   return processed;
 }
 
-function processMathInText(text: string) {
-  const parts = text.split(/(\$\$[^\$]+\$\$|\\begin{[\s\S]*?\\end{[\s\S]*?}|\$[^\$]+\$)/g);
-
-  return parts.map((part, i) => {
-    if (part.startsWith('$$') || (part.startsWith('\\begin') && part.endsWith('\\end'))) {
-      // Block math
-      const mathContent = part.startsWith('$$')
-        ? part.slice(2, -2)
-        : part;
-      return <Math key={i} inline={false}>{mathContent}</Math>;
-    }
-    if (part.startsWith('$') && part.endsWith('$')) {
-      // Inline math
-      const mathContent = part.slice(1, -1);
-      return <Math key={i} inline={true}>{mathContent}</Math>;
-    }
-    // Plain text
-    return part;
-  });
-}
-
-
-
-const MarkdownComponents: Components = {
-  code({ node, inline, className, children, ...props }: any) {
-    const match = /language-(\w+)/.exec(className || '');
-    const content = String(children).trim();
-
-    // Handle math blocks
-    if (content.startsWith('$') && content.endsWith('$')) {
-      const mathContent = content.slice(1, -1);
-      return <Math inline={true}>{mathContent}</Math>;
-    }
-    if (content.startsWith('$$') && content.endsWith('$$')) {
-      const mathContent = content.slice(2, -2);
-      return <Math inline={false}>{mathContent}</Math>;
-    }
-    
-    const language = match ? match[1] : undefined;
-
-    return !inline && language ? (
-      <SyntaxHighlighter
-        style={vscDarkPlus}
-        language={language}
-        PreTag="div"
-        {...props}
-      >
-        {content}
-      </SyntaxHighlighter>
-    ) : (
-      <code className={`not-prose bg-gray-100 dark:bg-gray-700 px-1.5 py-0.5 rounded font-['Courier New'] text-black dark:text-white text-sm`} {...props}>
-        {children}
-      </code>
-    );
-  },
-  p(props) {
-    const { children, ...rest } = props;
-  
-    return (
-      <p {...rest}>
-        {React.Children.map(children, child => {
-          if (typeof child === 'string') {
-            // Process text for inline and block math
-            const parts = processMathInText(child);
-  
-            // Return all parts together (text and inline math)
-            return parts;
-          }
-          return child;
-        })}
-      </p>
-    );
-  },  
-  a(props) {
-    const { href, children, ...rest } = props;
-    if (href && href.startsWith('/')) {
-      return (
-        <Link to={href} {...rest}>
-          {children}
-        </Link>
-      );
-    }
-    return <a href={href} {...rest}>{children}</a>;
-  },
-
-  strong(props) {
-    const { children, ...rest } = props;
-    return (
-      <strong {...rest}>
-        {React.Children.map(children, child => {
-          if (typeof child === 'string') {
-            return processMathInText(child);
-          }
-          return child;
-        })}
-      </strong>
-    );
-  },
-  em(props) {
-    const { children, ...rest } = props;
-    return (
-      <em {...rest}>
-        {React.Children.map(children, child => {
-          if (typeof child === 'string') {
-            return processMathInText(child);
-          }
-          return child;
-        })}
-      </em>
-    );
-  },
-  i(props) {
-    const { children, ...rest } = props;
-    return (
-      <em {...rest}>
-        {React.Children.map(children, child => {
-          if (typeof child === 'string') {
-            return processMathInText(child);
-          }
-          return child;
-        })}
-      </em>
-    );
-  },
-  img(props) {
-    return (
-        <img {...props} style={{display: 'block', marginLeft: 'auto', marginRight: 'auto', maxWidth: '100%'}}/>
-
-    );
-  }
-};
-
 interface PostCardProps {
   post: Post;
   isPinned?: boolean;

From a26b1d794bbbc7fc5c5b4dd784c0f3d14e9d0406 Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Mon, 10 Feb 2025 19:36:07 +0100
Subject: [PATCH 06/18] fix `code` blocks background

---
 src/components/MarkdownComponents.tsx | 18 +++++++++++++++---
 1 file changed, 15 insertions(+), 3 deletions(-)

diff --git a/src/components/MarkdownComponents.tsx b/src/components/MarkdownComponents.tsx
index 900587c..2cf2051 100644
--- a/src/components/MarkdownComponents.tsx
+++ b/src/components/MarkdownComponents.tsx
@@ -47,13 +47,25 @@ const MarkdownComponents: Components = {
       <SyntaxHighlighter
         style={vscDarkPlus}
         language={language}
-        PreTag="div"
+        PreTag="pre"
+        customStyle={{
+            margin: "0em",
+            padding: "0.5em",
+            backgroundColor: '#1f2937', // Set to same color as vscDarkPlus
+            border: 'none', // Remove border
+            outline: 'none', // Remove outline
+          }}
         {...props}
       >
         {content}
       </SyntaxHighlighter>
-    ) : (
-      <code className={`not-prose bg-gray-100 dark:bg-gray-700 px-1.5 py-0.5 rounded font-['Courier New'] text-black dark:text-white text-sm`} {...props}>
+    ) : 
+    // inline blocks
+    (
+      <code
+        className={`not-prose bg-gray-200 dark:bg-gray-700 px-1.5 py-0.5 rounded font-['Courier New'] text-black dark:text-white text-sm border-none`}
+        {...props}
+      >
         {children}
       </code>
     );

From bc0e6994f474350c04830a22a12ae5675a0bb4e0 Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Mon, 10 Feb 2025 19:37:24 +0100
Subject: [PATCH 07/18] two new posts: a) jupyterlab on remote , b) uv & warp

---
 .../2019-02-08-data-science-on-remote-old.md  | 173 -----------------
 ...9-02-08-jupyter-lab-on-a-remote-machine.md |  73 ++++++++
 src/content/posts/2025-01-10-uv-and-warp.md   | 174 ++++++++++++++++++
 .../2025-02-08-data-science-on-remote.md      |  24 ++-
 4 files changed, 263 insertions(+), 181 deletions(-)
 delete mode 100644 src/content/posts/2019-02-08-data-science-on-remote-old.md
 create mode 100644 src/content/posts/2019-02-08-jupyter-lab-on-a-remote-machine.md
 create mode 100644 src/content/posts/2025-01-10-uv-and-warp.md

diff --git a/src/content/posts/2019-02-08-data-science-on-remote-old.md b/src/content/posts/2019-02-08-data-science-on-remote-old.md
deleted file mode 100644
index 376c417..0000000
--- a/src/content/posts/2019-02-08-data-science-on-remote-old.md
+++ /dev/null
@@ -1,173 +0,0 @@
----
-title: Data Science on remote (OLD)
-date: '2019-02-08 00:00:00 +0000'
-permalink: /posts/data-science-in-remote-old/
-categories:
-- Dev tools
-isPinned: false
----
-
-Today we'll see some tips and tricks when working (but not only) on
-remote. This is typical in a data scientist life as layman laptops, at some point,
-and especially if you work with big data, entail limitations in memory and/or
-speed.
-
-In most companies or in academia, when you need
-to run a huge task you are given a remote machine, either in AWS or in a company/uni
-cluster. This means that you won't have physical access, and you can only connect
-there remotely.
-
- **Disclaimer**: all info written in this post assumes a Mac as your local, and Ubuntu as remote. Most of it should work also with other combinations of these two.
-
-## Access to a remote machine
-
-Accessing to the cluster usually is as easy as writing:
-
-  ```ssh username@ip```
-
-This will require you to write your password, but there is a solution to avoid writing your password all the time (all from your local, <a href="http://www.linuxproblem.org/art_9.html">source</a>):
-
-1. `ssh-keygen -t rsa`
-1. `ssh username@ip mkdir -p .ssh`
-1. `cat .ssh/id_rsa.pub | ssh username@ip 'cat >> .ssh/authorized_keys'`
-
-In addition to this, I like to define my alias to access to it, so adding to the `.bashrc` file something like:
-
-`
-alias sshmarc=ssh username@ip
-`
-
-so that just typing something short I can access to it.
-
-## File transfer
-
-Always do this from your local machine. Examples:
-
-From cluster to local (the dot means that it will be copied to the current directory):
-
-`scp marc@172.16.6.35:~/titanic.log .`
-
-From local to cluster:
-
-`scp -r ~/experiments/results marc@172.16.6.35:~/results/`
-
-A way to just synchronise is using rsync:
-
-`
-rsync -arv --ignore-existing --progress marc@172.16.6.32:/home/marc/results experiments/results/`
-
-## Run shells on background
-
-The main application of having a server is not only to run experiments when you're connected, but to leave it the whole night, so that you don't have to wait. However, if you close the ssh connection, you'll lose everything you had. A workaround for that is running the processes on background, or using a terminal multiplexer. While I started with `screen`, I've finally adopted `tmux` as my favorite one. A short cheatsheet next:
-
-* `tmux ls`
-* `tmux new -s name`
-* `tmux attach -t name`
-* control + b, and then d => detach
-* `killall tmux`
-
-## Notebooks
-
-As explained in the Python tips and tricks
-<a href="/posts/python-tips-tricks/">post</a>, Jupyter notebooks are very powerful tools for Python easy prototyping, but also for intensive development. However, one typically runs the jupyter server in local, and connect via browser. How do we do this when we want the Python to run in our remote box?
-
-1. Install Jupyter lab in the remote box to be able to run the notebook server: `conda install jupyterlab`
-
-1. `jupyter lab --no-browser --port=8089.`
-
-1. Now in your local terminal run: `ssh -N -L 8000:localhost:8089 marc@172.16.6.32`.
-
-There will be no answer, just leave this open.
-This creates a tunnel from your port 8000 to the port 8089 in the server (these ports are examples and can be changed to any number), where the jupyter server is listening. Note that if you
-have multiple servers, they can all listen in the same port, but you have to tunnel them to different ports, so changing the 8000!
-
-Open a browser and go to `localhost:8000`. The password in step2 will be asked, and you should be able to work as in local.
-
-Optional: add the tunnel as in `ssh -fN -L 8000:localhost:8089 marc@172.16.6.32`
-to your `~/.bashrc`, and it will be active but in the background, and started every time you open a new terminal. So no need to have a terminal blocked (but do not close it!).
-To make it effective either restart terminal or `source ~/.bashrc`.
-
-
-## Jupyter lab as a service
-
-After previous section, you're able to run notebooks on the server, and accessing to them via browser. So, even though it says `localhost:8000`, you're in the server! (tunnels dark magic). However, it's really annoying going to the server and start the sever every time. This can be automated by running it as a service <a href="https://aichamp.wordpress.com/2017/06/13/setting-up-jupyter-notebook-server-as-service-in-ubuntu-16-04/">source</a>:
-
-* Set the service file `/usr/lib/systemd/system/jupyter.service` (yes, you probably need to create some dirs) as in
-```bash 
-[Unit]
-Description=Jupyter Lab
-
-[Service]
-Type=simple
-PIDFile=/run/jupyter.pid
-ExecStart=/home/marc/miniconda3/bin/jupyter lab --no-browser --port=8089
-User=marc
-Group=marc
-WorkingDirectory=/home/marc
-Restart=always
-RestartSec=10
-#KillMode=mixed
-[Install]
-WantedBy=multi-user.target
-```
-
-* `sudo systemctl enable jupyter.service`
-* `sudo systemctl daemon-reload`
-* `jupyter lab --generate-config`
-* `jupyter lab password`
-* `sudo systemctl restart jupyter.service`
-
-## Notebook tips and tricks
-
-### Autoreload
-
-(<a href="https://ipython.org/ipython-doc/3/config/extensions/autoreload.html">source</a>)
-
-When you change something in sources, usually you have to restart the kernel. This allows to automatically import functions again. Just add
-
-`%load_ext autoreload` <br>
-`%autoreload 2`
-
-### Table of contents
-
-Check out this useful [extension](https://github.com/jupyterlab/jupyterlab-toc).
-Especially interesting when you're writing a tutorial out of a notebook.
-
-### Kernels auto-discovery
-
-Check out [this](https://github.com/Anaconda-Platform/nb_conda_kernels), allowing
-you to have available every conda environment irrespective of which environment
-you launched the server from. With this enabled, the `python -m spacy ipykernel ...`
-in my previous post is no more required.
-
-### Jupytext
-
-Turn your notebooks into .py files automatically synchronised, see [this](https://github.com/mwouts/jupytext). Many advantages:
-* Good to keep track in version control
-* In this regard, when submitting a Pull Request this makes easier to comment on
-notebooks if necessary
-* One can potentially apply [black](https://github.com/psf/black) to auto-format the code in your notebok by
-applying *black* to your .py file and then synchronising with the notebook
-
-
-### Display various dataframes side by side
-
-
-Use the following code:
-
-<div style="text-align: center">
-  <img src="/content/side_by_side.png" alt="" width="80%"/>
-</div> <p> </p>
-
-and even nicer, if you have a list of dataframes, the following will show them in rows of 3 columns:
-
-
-<div style="text-align: center">
-  <img src="/content/display_dfs.png" alt="" width="50%"/>
-</div> <p> </p>
-
- ## Conclusion
-
-In this post, I have shown some of the tricks I have learned in the recent years for working on remote and with Jupyter notebooks.
-
-As always, any recommendation, suggestion or improvement, please let me know. Thanks for reading!
diff --git a/src/content/posts/2019-02-08-jupyter-lab-on-a-remote-machine.md b/src/content/posts/2019-02-08-jupyter-lab-on-a-remote-machine.md
new file mode 100644
index 0000000..e7c9f83
--- /dev/null
+++ b/src/content/posts/2019-02-08-jupyter-lab-on-a-remote-machine.md
@@ -0,0 +1,73 @@
+---
+title: Jupyterlab on a Remote Machine
+date: '2019-02-08 00:00:00 +0000'
+permalink: /posts/jupyter-lab-on-a-remote-machine/
+categories:
+- Dev tools
+isPinned: false
+---
+
+Today we'll see my config for running Jupyter notebooks when working on a Remote Machine. This is typical in a data scientist / ML engineer life as typical laptops eventually cannot process tasks due to limitations on memory, speed or disk space.
+
+ **Disclaimer**: all info written in this post assumes a Mac as your local, and Ubuntu as remote. Most of it should work also with other combinations of these two.
+
+
+## Notebooks
+
+Jupyter notebooks are very powerful tools for easy prototyping in Python (or even R!), but also for intensive development. However, one typically runs the Jupyter server in local, and connect via browser. How do we do this when we want the Python to run in our remote box?
+
+1. Install Jupyter lab in the remote box to be able to run the notebook server, e.g. `conda install jupyterlab` if working with `conda`.
+
+1. `jupyter lab --no-browser --port=8089.`
+
+1. Now in your local terminal run: `ssh -N -L 8000:localhost:8089 marc@172.16.6.32`.
+
+There will be no answer, just leave this open.
+This creates a tunnel from your port `8000` to the port `8089` in the remote machine (these ports are just examples and can be changed to any number), where the Jupyter server is listening. Note that if you
+have multiple servers, they can all listen in the same port e.g. `8089`, but you have to tunnel them to different *local* ports, so changing the `8000`!
+
+Open a browser and go to `localhost:8000`, and that's it!
+
+**Optional**: add the tunnel as in `ssh -fN -L 8000:localhost:8089 marc@172.16.6.32`
+to your `~/.bashrc`. This will make the tunnel always active but in the background, and started every time you open a new terminal. So no need to have a terminal blocked (but do not close it!).
+To make it effective either restart the terminal or `source ~/.bashrc`.
+
+
+## Jupyter lab as a service
+
+Now you're able to run notebooks on the remote machine, and accessing to them via browser. So, even though it says `localhost:8000`, you're in the server! However, it's really annoying going to the remote machine and start the Jupyter lab server every time. This can be automated by running it as a service <a href="https://aichamp.wordpress.com/2017/06/13/setting-up-jupyter-notebook-server-as-service-in-ubuntu-16-04/">source</a>:
+
+* Set the service file `/usr/lib/systemd/system/jupyter.service` (yes, you probably need to create some dirs) as in
+```bash 
+[Unit]
+Description=Jupyter Lab
+
+[Service]
+Type=simple
+PIDFile=/run/jupyter.pid
+ExecStart=/home/marc/miniconda3/bin/jupyter lab --no-browser --port=8089
+User=marc
+Group=marc
+WorkingDirectory=/home/marc
+Restart=always
+RestartSec=10
+#KillMode=mixed
+[Install]
+WantedBy=multi-user.target
+```
+
+* `sudo systemctl enable jupyter.service`
+* `sudo systemctl daemon-reload`
+* `jupyter lab --generate-config`
+* `jupyter lab password`
+* `sudo systemctl restart jupyter.service`
+
+
+and that's it. Every time the machine starts, will start this service and let it listen for incoming requests.
+
+
+ ## Conclusion
+
+In this short post, I have shown how to spin up a Jupyter server in your remote machine. This way we can run notebooks in the remote machine with the same experience as if the Jupyter server was running locally!
+
+As always, any recommendation, suggestion or improvement, please let me know. Thanks for reading!
diff --git a/src/content/posts/2025-01-10-uv-and-warp.md b/src/content/posts/2025-01-10-uv-and-warp.md
new file mode 100644
index 0000000..3b367da
--- /dev/null
+++ b/src/content/posts/2025-01-10-uv-and-warp.md
@@ -0,0 +1,174 @@
+---
+title: uv and warp
+date: '2025-01-10 00:00:00 +0000'
+permalink: /posts/uv-and-warp
+categories:
+- Dev tools
+isPinned: true
+---
+
+Today, I'm sharing a couple of tools I've been using recently and have been real **game-changers**. On the one hand, [uv](https://docs.astral.sh/uv) is an **ultra-fast** Python Package Manager that comes to replace [pip-tools](https://github.com/jazzband/pip-tools) and [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html) in my case. On the other hand, [warp](https://www.warp.dev/) is an **AI-powered terminal** that made me move from [iterm2](https://iterm2.com/). Let's get started 🚀
+
+## **uv**: The Rust-Powered Python Package Manager
+
+### A little bit of my background
+
+I've been using Python for years, and like many data scientists, I started using [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html) for the Python environment management. With [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html) I would:
+- **Environment management**: `conda` creates isolated environments, that can be used to manage each project, so each project can have its own set of dependencies, their versions, but also potentially its **own Python version**. These environments are typically installed in the home directory, separated from the code. This was "the Python way" for me, even though for my pet project [LinguaQuest](https://play.google.com/store/apps/details?id=com.marc.torsoc.linguaquest) I was using `npm` and there, it looked to me more like the native `venv` module I was avoiding with `conda`.
+- **Package Management for Non-Python Dependencies**:  A major strength of `conda` is its ability to manage dependencies that are not Python packages.  Many scientific computing packages rely on underlying C/C++ libraries, Fortran libraries, or other system-level dependencies.  Conda can install and manage these dependencies, which pip struggles with.
+- **Binary Package Installations**: `Conda` often installs packages as pre-compiled binaries. This can be significantly faster than building packages from source, which is often what `pip` does.
+
+Then I would have a `setup.py` declaring the dependencies for the project and `pip install` it.
+
+However, when working in production projects, you want to make sure that the environment is reproducible. So you pin dependencies. The classical simple approach is to `pip freeze > requirements.txt`. 
+
+But then, upgrading dependencies becomes a nightmare because we're pinning sub-dependencies. And conflict resolution is solved by pip, which a) might not be accurate, b) is terribly slow. Sometimes it has to download the package to understand its dependencies.
+
+At the end of my adventure with Eigen, we started using [poetry](https://python-poetry.org/). This was solving some problems with dependency resolution, but was **realy really slow**.
+
+Later, during my time at Globality we used [pip-tools](https://github.com/jazzband/pip-tools) to define projects' dependencies. This would look into the dependencies declared in `setup.py`, and generate a `requirements.txt` file. It was working well for most of the issues, but still, was really slow.
+
+### uv to the rescue!
+
+Built in Rust, `uv` resolves dependencies [10–100x faster](https://medium.com/@vanessagaigher/python-package-managers-is-uv-really-faster-than-poetry-478da7ff43e4) than `pip/poetry`. It also uses global caching and parallel processing to minimize redundant downloads (e.g., cached installations take ~2s vs 41s for pip). `uv` looks a bit closer to `npm` for Node.js than `conda`. It also creates a `uv.lock` file, but you just manage the `pyproject.toml` file. And the environment is created right inside the project within the `.venv` directory. In their words, it is
+
+<div class="flex flex-col items-center justify-center space-y-4">
+<em>A single tool to replace pip, pip-tools, pipx, poetry, pyenv, twine, virtualenv, and more.</em>
+</div>
+
+and for me, this means that I could remove `conda` and `pip-tools` from my workflow, and just stick to `uv`.
+
+
+### Basic Commands
+There is great [documentation](https://docs.astral.sh/uv), and it's not really worth replicating it here. 
+
+#### 1. Project Initialization
+   Create a new Python project with `uv init`, which generates a `pyproject.toml` file and basic project structure:
+   ```bash
+   uv init myproject  # Creates project files and a virtual environment 
+   ```
+   Now you'll see
+
+   ```bash
+  $ tree myproject
+  myproject/
+   ├── pyproject.toml
+   └── hello.py
+   └── README.md
+   └── .python-version
+   └── .gitignore
+   ```
+   After this, I recommend doing `uv run hello.py` so the environment is created in `.venv`. Note that every time you do `uv run`, if there are dependencies that are not installed in the virtual environment, they will be automatically installed. See all details in [the documentation](https://docs.astral.sh/uv/concepts/projects/init/#applications).
+
+#### 2. Dependency Management
+   Add or remove packages with `uv add` and `uv remove`, which automatically update the `uv.lock` file for reproducible builds:
+   ```bash
+   uv add pandas  # Installs pandas and its dependencies 
+   uv remove requests  # Removes a package and its unused dependencies 
+   uv add "httpx>=0.20"  # You can specify package versions with constraints 
+   uv add "httpx @ git+https://github.com/encode/httpx"  # Install from git
+   uv add ../httpx  # Install from local directory 
+   ```
+  To update a dependency, use also `uv add`.
+
+
+#### 3. Environment Synchronization
+   Use `uv sync` to ensure the virtual environment matches the lockfile:
+   ```bash
+   uv sync  # Creates/updates .venv and resolves dependencies 
+   ```
+
+#### 4. Updating the Python version
+
+Simply go to the `.python-version` file and change the version number. Then, when you do `uv run`, it will automatically update the virtual environment and resolve dependencies.
+
+#### 5. A real example
+
+This is a real example of `pyproject.toml` file for one of my personal projects:
+```toml
+[project]
+name = "devs-scraper"
+version = "0.1.0"
+description = """
+    A scraper for developments
+"""
+authors = [
+    { name = "marctorsoc" }
+]
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "langchain>=0.3.15",
+    "langchain-ollama>=0.2.2",
+    "langfuse>=2.57.11",
+    "langgraph>=0.2.65",
+    "ollama>=0.4.6",
+    "python-dotenv>=1.0.1",
+    ...
+    "nbconvert>=7.16.6",
+]
+
+[tool.uv.sources]
+crawl4ai = { git = "https://github.com/marctorsoc/crawl4ai" }
+deboiler = { git = "https://github.com/marctorsoc/deboiler" }
+
+[project.scripts]
+scrape = "scrape:main"
+
+[build-system]
+requires = ["setuptools>=64", "wheel", "cython"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["devs_scraper"]
+
+[tool.setuptools.packages.find]
+exclude = ["*.tests", "*.tests.*", "tests.*", "tests"]
+```
+
+Notes:
+* Please see docs [here](https://docs.astral.sh/uv/concepts/projects/config/#build-systems) about configuring the build system. In this case, I chose `setuptools` as the backend. Note that if a build system is not defined, `uv` won't install the project itself, just the dependencies.
+* See how to declare dependencies that are not in Pypi, e.g. in Github. I made a fork of each repository to be able to share the code with others. However, you can also use as source a local package and add it like explained above. That will create a new source, e.g. `deboiler = { path = "../deboiler" }`.
+* You probably don't need both the section `[tool.setuptools]` and `[tool.setuptools.packages.find]`. Just use one of them to locate the package to be installed.
+
+### Advanced Workflows
+- **Jupyter from VSCode Integration**: While there is a [guide](https://docs.astral.sh/uv/guides/integration/jupyter/#using-jupyter-from-vs-code) on how to do this, I'd recommed simply make `.venv/bin/python` the kernel for the notebook. You don't really need to do anything, just click on the proper buttons 😁.
+- **Docker & FastAPI support**: Check the official guides:  
+  - [FastAPI Integration](https://docs.astral.sh/uv/guides/integration/fastapi/)   
+  - [Docker Integration](https://docs.astral.sh/uv/guides/integration/docker/) 
+
+
+## **Warp**: The AI-Powered Terminal for Modern Developers
+
+Warp reimagines the terminal with features that boost productivity and reduce friction.
+
+### A little bit of my background
+
+When I started using terminals, I quickly figured I could not continue with the default one. Quickly I moved into the [Terminator](https://gnome-terminator.org/) and later on to [iterm2](https://iterm2.com/). They are both great, but the era of AI came.
+
+### Key Features
+1. **Agent Mode (AI Integration)**  
+   - **Error Debugging**: Get explanations and fixes for errors directly in the terminal.
+   - **Code Generation**: Generate scripts or commands using natural language (e.g., "Give me the command to check what's on port 8089").  
+
+2. **IDE-Like Editing**  
+   Edit commands directly in the terminal with syntax highlighting, multi-line support, easy copy-paste, and more.
+
+2. **Smart Autocompletion**  
+   Context-aware suggestions for commands, flags, and file paths, powered by your command history and system context.
+
+4. **Typo Correction**  
+   Warp detects typos (e.g., `got commit` → suggests `git commit`) and offers fixes.
+
+3. **Split Panes**  
+   Run multiple commands simultaneously in split views, ideal for monitoring logs or parallel workflows.
+
+
+## Conlusion
+
+Today, I've shared two powerful tools that I use every day:
+
+- **uv** excels in Python workflows with speed and reproducibility.
+- **Warp** transforms terminal usage into an AI-enhanced experience.  
+
+Both tools prioritize developer ergonomics, making them indispensable for modern coding. Explore their full potential through their official documentation and community resources!
diff --git a/src/content/posts/2025-02-08-data-science-on-remote.md b/src/content/posts/2025-02-08-data-science-on-remote.md
index a3b5c23..4abdb05 100644
--- a/src/content/posts/2025-02-08-data-science-on-remote.md
+++ b/src/content/posts/2025-02-08-data-science-on-remote.md
@@ -1,5 +1,5 @@
 ---
-title: Data Science on remote
+title: Data Science on a Remote Machine
 date: '2025-02-08 00:00:00 +0000'
 permalink: /posts/data-science-in-remote/
 categories:
@@ -7,7 +7,7 @@ categories:
 isPinned: false
 ---
 
-In this post, we'll see some tips and tricks that I use when working (but not only) on remote.
+In this post, I'll share some practical tips and tricks for using a remote machine for data science, covering first the why, then connection, tmux and more.
 
 *Disclaimer: all info written in this post assumes a Mac as your local, and Ubuntu as remote. Most of it should work also with other combinations of these two.*
 
@@ -62,6 +62,8 @@ Now you can simply use:
 ssh marc
 ```
 
+and the same for any other command where you would write `username@ip_address`. You'll see some examples below.
+
 ## File Transfer
 
 ### Using `scp`
@@ -87,9 +89,7 @@ rsync -arv --ignore-existing --progress marc:/home/marc/results experiments/resu
 
 ## Running Shells in the Background
 
-Running long processes remotely requires keeping them active even if the connection drops. Use `tmux` to manage persistent sessions.
-
-### `tmux` Commands
+Running long processes remotely requires keeping them active even if the connection drops. While `screen` is an option, I prefer using `tmux`. Here a cheatsheet of `tmux` commands:
 
 - List sessions:
   ```bash
@@ -103,18 +103,26 @@ Running long processes remotely requires keeping them active even if the connect
   ```bash
   tmux attach -t name
   ```
-- Detach from a session (Control + b, then d)
+- Detach from a session (`Control + b`, then `d`)
 - Kill all sessions:
   ```bash
   killall tmux
   ```
 - Scrolling: Enter scroll mode with `Control + b` followed by `[`. Navigate using arrow keys. To exit scroll mode, press `q`.
 
-With these tools and techniques, you'll be more efficient and productive when working remotely.
+## VS Code's Remote Development: A Game Changer
+
+If you checked my old posts, you'll see I was big proponent of Pycharm over VScode. However, I used to run notebooks on a Jupyter server, and then connected via browser after setting up a tunnel. You can check [here](/posts/jupyter-lab-on-a-remote-machine/) my old config if still useful at all. I really liked Pycharm's Git integration, especially for merges and comparing branches. And, to be honest, I still think it's a better inferface than the one in VScode. At least with all extensions I tried.
+
+But at some point I found VSCode's Remotes feature, and it really became a game changer for me. VScode supports:
+- Opening notebooks directly in the IDE, which means you get all the advantages of being an IDE (code and imports completion, error highlighting, search, debugging, etc.)
+- Running notebooks on the remote machine, with the same experience as if it was running locally
+- LLM-powered autocomplete within the notebook itself!
+- A table of contents (called Outline) to navigate the notebook.
 
 
  ## Conclusion
 
-In this post, I have shown some of the tricks I have learned in the recent years for working on remote and with Jupyter notebooks.
+In this post, I shared some good practices for working with a remote machine, especially for data science projects. With these tools and techniques, you'll be more efficient and productive when working remotely.
 
 As always, any recommendation, suggestion or improvement, please let me know. Thanks for reading!

From 2b3f2472c48a62c4b943101421f21e394fe9259b Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Tue, 11 Feb 2025 17:48:30 +0100
Subject: [PATCH 08/18] add docker post

---
 src/content/posts/2023-08-25-docker.md | 235 +++++++++++++++++++++++++
 1 file changed, 235 insertions(+)
 create mode 100644 src/content/posts/2023-08-25-docker.md

diff --git a/src/content/posts/2023-08-25-docker.md b/src/content/posts/2023-08-25-docker.md
new file mode 100644
index 0000000..5cb26f7
--- /dev/null
+++ b/src/content/posts/2023-08-25-docker.md
@@ -0,0 +1,235 @@
+---
+title: Troubleshooting Docker
+date: '2023-08-25 00:00:00 +0000'
+permalink: /posts/docker
+categories:
+- Dev tools
+isPinned: true
+---
+
+When I started moving beyond simple experiments and into the world of deploying AI models to production, the importance of Docker became crystal clear.  It wasn't just about making things run smoothly on my own machine anymore; it was about ensuring reliability, scalability, and maintainability in a real-world setting.  That's when I realized Docker wasn't optional – it was *essential*.  
+
+This post focuses on the Docker commands and troubleshooting skills I found critical for taking AI projects from the lab to production. The first version of this post was written while I was at Globality, where we would containerize our AI models, train with AWS Sagemaker, and deploy to ECS. Sometimes the model would fail to train. Sometimes it would fail to deploy. Let’s get started 🚀
+
+## Docker 101
+
+### Core concepts
+
+Docker is a containerization tool that allows you to package an application along with its dependencies into a lightweight, standalone container. This means that you can run the same application on any machine as long as it has Docker installed.
+
+You might find a more comprehensive overview [here](https://docs.docker.com/get-started/docker-overview/#docker-objects), but let's cover a few concepts:
+* **Container**: A container is an isolated environment that runs a single application.  It has its own file system, network stack, and processes.
+* **Images**: These are like templates for containers. An image allows you to create multiple containers from it.  You can think of an image as a blueprint for building a container. Another analogy is that Docker *images are like classes* of any OOP language, and *containers are like instances* of those classes.
+* **Registry**: A registry is a cloud location where images are stored. Dockerhub is the most popular public registry (like PyPi for Python packages) where you can store and share your own custom Docker images. While Docker Hub is the default and often the first place people go, organizations often use private registries for internal images that they don't want to share publicly. For AWS, that'd be [ECR](https://aws.amazon.com/es/ecr/).
+* **Repository**: A repository is a collection of images. It's like a folder in your file system where all the images for your project are stored.
+
+### Basic commands
+
+Docker can seem intimidating at first, but mastering a few core commands will get you a long way.  This section covers the essentials to get you started.
+
+#### Images
+
+*   **`docker pull <image_name>:<tag>`:** Downloads an image from a registry (like Docker Hub).  If you don't specify a tag, it defaults to `latest`.  Example: `docker pull ubuntu:latest`
+*   **`docker images`:** Lists all locally stored images. You can see both the image name and image id for each image.
+*   **`docker rmi <image_id>` or `docker rmi <image_name>`:** Removes a local image. Be careful, you can't remove an image that's currently in use by a container.
+
+#### Containers
+
+* **`docker build -t <image_name> .`:** Builds an image from a Dockerfile in the current directory.
+
+*   **`docker run <image_name>`:** Creates and starts a container from an image.  This is where you'll often add options:
+    *   `-d`: Runs the container in detached mode (background).
+    *   `-p <host_port>:<container_port>`: Publishes a container's port to the host.  Essential for accessing your application. Example: `-p 8080:80` maps port 80 inside the container to port 8080 on your machine.
+    *   `-v <host_path>:<container_path>`: Mounts a volume (directory) from the host into the container.  Useful for persisting data and sharing code. Example: `-v /path/on/host:/path/in/container`
+    *   `--name <container_name>`: Gives your container a memorable name.
+
+*   **`docker ps`:** Lists running containers, while `docker ps -a` to list also stopped containers.
+*   **`docker {stop,restart,rm} {<container_id>,<container_name>}`**: Stops, restarts or removes containers, based on id or name.
+
+## Dockerfile
+
+A Dockerfile is used to automate the creation of a Docker images. It defines a series of commands that will be executed when building an image. Here's a simple example:
+```dockerfile
+# Start from a base image from Dockerhub.
+FROM python:3.12-slim
+
+# Install uv.
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
+
+# Create a folder called app-folder for our app within the container
+WORKDIR /app-folder
+
+# Copy the application into the container, into /app-folder
+COPY . .
+
+# Install the application dependencies
+RUN uv sync --frozen --no-cache
+
+# Run the application
+CMD [".venv/bin/fastapi", "run", "app/main.py", "--port", "80", "--host", "0.0.0.0"]
+```
+inspired by uv's documentation [here](https://docs.astral.sh/uv/guides/integration/fastapi/#deployment). You might find the full code at my repo [here](https://github.com/marctorsoc/fastapi-with-uv-example). I simplified the source a bit to make clearer what the `WORKDIR` command does. Now, we would first build:
+```bash
+docker build -t fastapi-with-uv-example .         
+```
+and then run:
+```bash
+docker run -p 8000:80 -it fastapi-with-uv-example
+```
+Then, we can start a browser on http://localhost:8000/docs to see the FastAPI docs. If we don't want to see the logs, we can use `-d` to run it in detached mode, even though I suggest running it in a tmux session.
+
+## Troubleshooting with the toy example
+
+
+### How do I get into the container?
+
+Let's say that we want to get into the container and run the app ourselves, or check something. This can be done as follows:
+```bash
+docker run -it fastapi-with-uv-example bash
+```
+This will *create* the container and give us a shell inside the container. We need `-i` to make the container interactive, `-t` to allocate a pseudo-TTY (terminal), and `bash` to run bash inside the container. This is actually overwriting the `CMD` from the Dockerfile above, with a new command.
+
+If you rather want to get into a *running container*, then you'll do this instead:
+```bash
+docker ps
+docker exec -it <container name> /bin/bash
+```
+Note that `exec` runs a command within a running container, while `run` starts the container and then runs the command. And by the way, to see the logs of such running container, we can do:
+```bash
+docker logs -f <container name>
+```
+
+
+### What's the difference between `CMD` and `ENTRYPOINT`?
+
+The `CMD` and `ENTRYPOINT` are both used to specify a default command or program that should be executed when the container starts. However, they have different behaviors:
+- `ENTRYPOINT` specifies a program that will be executed when the container starts. It can take arguments, but it's an executable program itself. It is overwritten by using `--entrypoint` with `docker run`.
+- `CMD` specifies a default command that will be executed when the container starts. It can take arguments, but it's not an executable program itself. It is overwritten by adding arguments at the end of `docker run`, like we did with `bash`. 
+
+Note that `CMD` can be used in conjuction with `ENTRYPOINT`, to give arguments to the executable from `ENTRYPOINT`, but that's a bit of a hack. 
+
+### How to open a Jupyter lab server to play from within the Docker container?**
+
+This might be a way to check dependencies, outputs or to debug in general with a nicer interace. First, let's run like this:
+```bash
+docker run -p 8000:80 -p 8000:81 -it fastapi-with-uv-example bash
+```
+This way we have one port for the FastAPI server and another for the Jupyter lab server. Now, we would create a tmux session and run the FastAPI server, that we can check at http://localhost:8000/. Then we can open another tmux session and run:
+```bash
+uv add jupyterlab
+uv run jupyter lab --port 81 --no-browser -—allow-root --ip "0.0.0.0"
+```
+Note that 1) it’s not "host" but "ip", and 2) we need the IP 0.0.0.0 to bind all network interfaces, which allows external connections to reach the Jupyter Lab server.
+
+
+## Memory issues
+
+During my time at Globality, I experimented several issues when training ML models, that were related to memory. That's why I found a bunch of tips and tricks that might be useful if you're in a similar situation.
+
+### Ensuring all memory is shared
+
+This is a bit more complicated that the question I posed, but if you are debugging and cannot make a high-performance computing application to work (like when training an ML model), it might help to add `--ipc=host` to the `docker run` command. See full reference in the Docker docs, since it comes with risks.
+
+### Limiting container memory
+
+To properly simulate the environment in production, you can limit the memory available to the container by using the `--memory` and `--memory-swap` flags (plus a few others, see Docker documentation).
+
+Here an example:
+```bash
+docker run --memory="10000m" --memory-swap=0 -it -v /<path-in-host>":<path-in-container>" --gpus all <docker-id> bash
+```
+For ubuntu, this capability is not available immediately after Docker installation. See [this page](https://www.serverlab.ca/tutorials/containers/docker/how-to-limit-memory-and-cpu-for-docker-containers/) for instructions to enable it (verified on ubuntu 18.04).
+To verify that the memory limit is applied once the container is running, and to see memory usage in real time, run `docker stats`.
+
+### Checking memory limits within Docker container
+
+The `docker run` container can be run with memory limits, as explained in [Check mem_limit within a docker container](https://stackoverflow.com/questions/42187085/check-mem-limit-within-a-docker-container). To check all limits that are set, add the following to one of the first lines of code that are run within the app:
+```python
+try: 
+   os.system("more /sys/fs/cgroup/memory/memory.* | cat") 
+except Exception as e: 
+   self.logger.info(e) 
+   self.logger.info("Problem running `more /sys/fs/cgroup/memory/memory.* | cat`")
+```
+See [here](https://www.kernel.org/doc/Documentation/cgroup-v1/memory.txt) for explanation of the fields. The most relevant are:
+
+* memory.soft_limit_in_bytes
+
+* memory.limit_in_bytes
+
+* memory.memsw.limit_in_bytes
+
+* memory.kmem.limit_in_bytes
+
+You might also look at the `*usage_in_bytes` just to double-check the memory at that point is low.
+
+
+## Problems with gpus
+
+First make sure you are passing `--gpus all` to `docker run`. Then, you might also need
+
+```bash
+sudo apt install nvidia-container-toolkit
+sudo apt install nvidia-cuda-toolkit
+sudo systemctl restart docker
+```
+
+Now, e.g:
+
+```bash
+watch -n 0.5 nvidia-smi 
+```
+to keep track of GPU memory every 0.5 seconds.
+
+## Rebuilding the Dockerfile
+
+The following will give you an approximate idea of how the Docker container was created. Note that this will show ALL parents, so if you container inherits from others, it will include those as well:
+
+
+```bash
+docker history --no-trunc -q <docker-id> > dockerfile_recreated
+```
+
+## Docker Compose
+
+If your application consists of multiple containers, Docker Compose simplifies management. It uses a `docker-compose.yml` file to define the services (containers) and their relationships. Here is an example of an app having backend, frontend, and a database:
+
+```yaml
+version: "3.9"
+
+services:
+  backend:
+    build: ./backend
+    ports:
+      - "8000:8000"
+    depends_on:
+      - db
+    environment:
+      - DATABASE_URL=postgresql://user:password@db:5432/dbname
+    volumes:
+      - db_data:/var/lib/postgresql/data
+
+  frontend:
+    build: ./frontend
+    ports:
+      - "3000:80"
+    depends_on:
+      - backend
+
+  db:
+    image: postgres:13-alpine
+    ports:
+      - "5432:5432"
+    environment:
+      - POSTGRES_USER=user
+      - POSTGRES_PASSWORD=password
+      - POSTGRES_DB=dbname
+    volumes:
+      - db_data:/var/lib/postgresql/data
+
+volumes:
+  db_data:
+```
+And the essential commands here:
+*   **`docker-compose up`:** Builds (if necessary) and starts all the services defined in the `docker-compose.yml` file. Add `-d` for detached mode.
+*   **`docker-compose down`:** Stops and removes the containers defined in the `docker-compose.yml` file.

From e3f83412799fc46ce3e50b37bf68ec46905bf38f Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Tue, 11 Feb 2025 18:32:19 +0100
Subject: [PATCH 09/18] add automatic ToC

---
 src/components/MarkdownComponents.tsx  | 22 +++++++++-
 src/components/PostCard.tsx            | 56 +++++++++++++++++++++++++-
 src/content/posts/2023-08-25-docker.md |  2 +-
 src/context/HeaderIndexContext.tsx     | 34 ++++++++++++++++
 src/types/Post.ts                      |  7 ++++
 src/utils/PostLoader.ts                | 31 +++++++++++++-
 src/utils/markdownUtils.ts             | 21 +++++++++-
 src/utils/textUtils.ts                 | 11 +++++
 8 files changed, 178 insertions(+), 6 deletions(-)
 create mode 100644 src/context/HeaderIndexContext.tsx
 create mode 100644 src/utils/textUtils.ts

diff --git a/src/components/MarkdownComponents.tsx b/src/components/MarkdownComponents.tsx
index 2cf2051..45c5c2b 100644
--- a/src/components/MarkdownComponents.tsx
+++ b/src/components/MarkdownComponents.tsx
@@ -4,6 +4,7 @@ import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
 import { vscDarkPlus } from 'react-syntax-highlighter/dist/esm/styles/prism';
 import Math from './Math';
 import type { Components } from 'react-markdown';
+import { generateId } from '../utils/textUtils';
 
 function processMathInText(text: string) {
   const parts = text.split(/(\$\$[^\$]+\$\$|\\begin{[\s\S]*?\\end{[\s\S]*?}|\$[^\$]+\$)/g);
@@ -144,7 +145,26 @@ const MarkdownComponents: Components = {
         <img {...props} style={{display: 'block', marginLeft: 'auto', marginRight: 'auto', maxWidth: '100%'}}/>
 
     );
-  }
+  },
+
+  h1(props) {
+    const { children, ...rest } = props;
+    const text = typeof children === 'string' ? children : '';
+    const id = generateId(text);
+    return <h1 id={id} {...rest}>{children}</h1>;
+  },
+  h2(props) {
+    const { children, ...rest } = props;
+    const text = typeof children === 'string' ? children : '';
+    const id = generateId(text);
+    return <h2 id={id} {...rest}>{children}</h2>;
+  },
+  h3(props) {
+    const { children, ...rest } = props;
+    const text = typeof children === 'string' ? children : '';
+    const id = generateId(text);
+    return <h3 id={id} {...rest}>{children}</h3>;
+  },
 };
 
 export default MarkdownComponents;
diff --git a/src/components/PostCard.tsx b/src/components/PostCard.tsx
index 469e6ca..4451939 100644
--- a/src/components/PostCard.tsx
+++ b/src/components/PostCard.tsx
@@ -37,7 +37,7 @@ function preprocessContent(content: string): string {
       const cleanBody = body
         .trim()
         .replace(/\\\s*\n/g, '\n')
-        .replace(/(?:\\!){2,}/g, '\\!')
+        .replace(/(?:\\!){2,}/g, '\\!') // Add missing quote here
         .replace(/(?:\\,){2,}/g, '\\,');
       return `${start}${cleanBody}${end}`; // Keep \begin{equation}...\end{equation}
     }
@@ -115,6 +115,58 @@ export function PostCard({ post, showFullContent = false, compact = false }: Pos
           </Link>
         ))}
       </div>
+      {showFullContent && post.toc && post.toc.length > 0 && (
+        <>
+          <nav className="toc mb-4">
+            <h3 className="text-xl font-semibold mb-4">Table of Contents</h3>
+            <ul className="space-y-2 list-none p-0">
+              {post.toc.map(header => {
+                // Adjust level to make level 2 the base (no indentation)
+                const minLevel = Math.min(...post.toc.map(h => h.level));
+                const adjustedLevel = Math.max(0, header.level - minLevel);
+                
+                return (
+                  <li
+                    key={header.id}
+                    style={{ marginLeft: `${adjustedLevel * 1.5}rem` }}
+                    className="hover:text-blue-600 dark:hover:text-blue-400"
+                  >
+                    <a 
+                      href={`#${header.id}`}
+                      onClick={(e) => {
+                        e.preventDefault();
+                        const element = document.getElementById(header.id);
+                        if (element) {
+                          element.scrollIntoView({ 
+                            behavior: 'smooth',
+                            block: 'start'
+                          });
+                          window.history.pushState(null, '', `#${header.id}`);
+                        }
+                      }}
+                      className="text-gray-900 dark:text-gray-100 hover:text-blue-600 dark:hover:text-blue-400 transition-colors no-underline"
+                    >
+                      <ReactMarkdown
+                        remarkPlugins={[remarkGfm]}
+                        components={{
+                          p: ({children}) => <>{children}</>,
+                          strong: ({children}) => <strong>{children}</strong>,
+                          em: ({children}) => <em>{children}</em>
+                        }}
+                      >
+                        {header.text}
+                      </ReactMarkdown>
+                    </a>
+                  </li>
+                );
+              })}
+            </ul>
+          </nav>
+          <hr className="my-8 border-t border-gray-200 dark:border-gray-800" />
+        </>
+      )}
+
+      
       {post.heroImage && showFullContent && (
         <div
             className={`mb-6 ${showFullContent ? '' : 'hidden'}`} 
@@ -135,7 +187,7 @@ export function PostCard({ post, showFullContent = false, compact = false }: Pos
               }}
             />
         </div>
-       )}
+      )}
 
       <div className={`text-gray-800 dark:text-gray-200 ${compact ? 'text-sm flex-grow overflow-hidden' : 'text-justify'}`}>
         <div className={!showFullContent ? 'line-clamp-3' : ''}>
diff --git a/src/content/posts/2023-08-25-docker.md b/src/content/posts/2023-08-25-docker.md
index 5cb26f7..b06b0c8 100644
--- a/src/content/posts/2023-08-25-docker.md
+++ b/src/content/posts/2023-08-25-docker.md
@@ -108,7 +108,7 @@ The `CMD` and `ENTRYPOINT` are both used to specify a default command or program
 
 Note that `CMD` can be used in conjuction with `ENTRYPOINT`, to give arguments to the executable from `ENTRYPOINT`, but that's a bit of a hack. 
 
-### How to open a Jupyter lab server to play from within the Docker container?**
+### How to open a Jupyter lab server to play from within the Docker container?
 
 This might be a way to check dependencies, outputs or to debug in general with a nicer interace. First, let's run like this:
 ```bash
diff --git a/src/context/HeaderIndexContext.tsx b/src/context/HeaderIndexContext.tsx
new file mode 100644
index 0000000..77995ff
--- /dev/null
+++ b/src/context/HeaderIndexContext.tsx
@@ -0,0 +1,34 @@
+import React, { createContext, useContext, useState } from 'react';
+
+interface HeaderIndexContextType {
+  getNextIndex: () => number;
+  reset: () => void;
+}
+
+const HeaderIndexContext = createContext<HeaderIndexContextType | null>(null);
+
+export function HeaderIndexProvider({ children }: { children: React.ReactNode }) {
+  const [currentIndex, setCurrentIndex] = useState(0);
+
+  const getNextIndex = () => {
+    const index = currentIndex;
+    setCurrentIndex(prev => prev + 1);
+    return index;
+  };
+
+  const reset = () => setCurrentIndex(0);
+
+  return (
+    <HeaderIndexContext.Provider value={{ getNextIndex, reset }}>
+      {children}
+    </HeaderIndexContext.Provider>
+  );
+}
+
+export function useHeaderIndex() {
+  const context = useContext(HeaderIndexContext);
+  if (!context) {
+    throw new Error('useHeaderIndex must be used within a HeaderIndexProvider');
+  }
+  return context;
+}
diff --git a/src/types/Post.ts b/src/types/Post.ts
index f338f62..6f6189e 100644
--- a/src/types/Post.ts
+++ b/src/types/Post.ts
@@ -1,3 +1,9 @@
+export interface TOCHeader {
+  level: number;
+  text: string;
+  id: string;
+}
+
 export interface Post {
     content: string;
     date: string;
@@ -8,4 +14,5 @@ export interface Post {
     isPinned?: boolean;
     heroImage?: string;
     heroImageWidth?: string;
+    toc?: TOCHeader[];
 }
\ No newline at end of file
diff --git a/src/utils/PostLoader.ts b/src/utils/PostLoader.ts
index c2cbdcb..e82defe 100644
--- a/src/utils/PostLoader.ts
+++ b/src/utils/PostLoader.ts
@@ -1,5 +1,6 @@
 import frontMatter from 'front-matter';
 import { Post } from '../types/Post';
+import { generateId } from './textUtils';
 
 const DEBUG = import.meta.env.DEV;
 
@@ -75,6 +76,33 @@ async function importAll(): Promise<Post[]> {
 
           const filename = filepath.split('/').pop() || '';
           
+          const lines = body.split('\n');
+          const headers = [];
+          let inCodeBlock = false;
+          let headerIndex = 0;
+          const headerIds = new Map<string, number>();
+          
+          for (let line of lines) {
+            if (line.startsWith('```')) {
+              inCodeBlock = !inCodeBlock;
+              continue;
+            }
+            
+            if (!inCodeBlock && /^(### |## |# )/.test(line)) {
+              const level = line.startsWith('### ') ? 3 : line.startsWith('## ') ? 2 : 1;
+              const text = line.replace(/^### |^## |^# /, '');
+              
+              // Generate a unique ID for duplicate headers
+              const baseId = generateId(text);
+              const count = headerIds.get(baseId) || 0;
+              headerIds.set(baseId, count + 1);
+              const id = count === 0 ? baseId : `${baseId}-${count}`;
+              
+              if (DEBUG) console.log('Found header:', { level, text, id });
+              headers.push({ level, text, id });
+            }
+          }
+
           return {
             ...attributes,
             content: body,
@@ -82,7 +110,8 @@ async function importAll(): Promise<Post[]> {
             permalink: attributes.permalink || filepath
               .replace('/src/content/posts/', '')
               .replace('.md', ''),
-            filename
+            filename,
+            toc: headers  // Add this line to include the TOC
           };
         } catch (error) {
           console.error(`❌ Error processing ${filepath}:`, error);
diff --git a/src/utils/markdownUtils.ts b/src/utils/markdownUtils.ts
index 7e8fc40..bbe279f 100644
--- a/src/utils/markdownUtils.ts
+++ b/src/utils/markdownUtils.ts
@@ -58,6 +58,23 @@ export async function getPost(slug: string): Promise<Post> {
       throw new Error('Invalid post format');
     }
 
+    // Extract headers for TOC with enhanced debug logging
+    console.log('Content body length:', body.length);
+    console.log('First 500 chars of content:', body.substring(0, 500));
+    
+    const headerMatches = body.match(/^(### |## |# )(.*)$/gm);
+    console.log('Raw header matches:', headerMatches);
+
+    const headers = headerMatches?.map(header => {
+      const level = header.startsWith('### ') ? 3 : header.startsWith('## ') ? 2 : 1;
+      const text = header.replace(/^### |^## |^# /, '');
+      const id = text.toLowerCase().replace(/\s+/g, '-').replace(/[^a-z0-9-]/g, '');
+      console.log('Processing header:', { raw: header, level, text, id });
+      return { level, text, id };
+    }) || [];
+
+    console.log('Final TOC headers:', headers);
+
     // Now TypeScript knows the shape of attributes
     const post: Post = {
       title: attributes.title,
@@ -69,9 +86,11 @@ export async function getPost(slug: string): Promise<Post> {
         .replace('.md', ''),
       filename: filepath.split('/').pop() || '',
       heroImage: attributes.heroImage,
-      heroImageWidth: attributes.heroImageWidth
+      heroImageWidth: attributes.heroImageWidth,
+      toc: headers
     };
 
+    if (DEBUG) console.log('Post TOC:', post.toc);
     return post;
   } catch (error) {
     console.error('Error loading post:', error);
diff --git a/src/utils/textUtils.ts b/src/utils/textUtils.ts
new file mode 100644
index 0000000..51afac2
--- /dev/null
+++ b/src/utils/textUtils.ts
@@ -0,0 +1,11 @@
+export function generateId(text: string, index?: number): string {
+  const cleanText = text
+    .replace(/\*\*(.*?)\*\*/g, '$1')  // Remove bold
+    .replace(/\*(.*?)\*/g, '$1')      // Remove italic
+    .replace(/`(.*?)`/g, '$1')        // Remove code
+    .toLowerCase()
+    .replace(/[^a-z0-9]+/g, '-')
+    .replace(/^-+|-+$/g, '');
+  
+  return typeof index === 'number' ? `${cleanText}-${index + 1}` : cleanText;
+}

From fd000444bcee2b90a8c2321a5dedadb8500721a8 Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Tue, 11 Feb 2025 18:37:21 +0100
Subject: [PATCH 10/18] simplified, but still some links in ToC not working

---
 src/components/MarkdownComponents.tsx | 19 ++++++++-------
 src/components/PostCard.tsx           |  1 +
 src/context/HeaderIndexContext.tsx    | 34 ---------------------------
 src/utils/markdownUtils.ts            | 20 +++++++++++++---
 4 files changed, 28 insertions(+), 46 deletions(-)
 delete mode 100644 src/context/HeaderIndexContext.tsx

diff --git a/src/components/MarkdownComponents.tsx b/src/components/MarkdownComponents.tsx
index 45c5c2b..3987781 100644
--- a/src/components/MarkdownComponents.tsx
+++ b/src/components/MarkdownComponents.tsx
@@ -5,6 +5,7 @@ import { vscDarkPlus } from 'react-syntax-highlighter/dist/esm/styles/prism';
 import Math from './Math';
 import type { Components } from 'react-markdown';
 import { generateId } from '../utils/textUtils';
+import { useHeaderIndex } from '../context/HeaderIndexContext';
 
 function processMathInText(text: string) {
   const parts = text.split(/(\$\$[^\$]+\$\$|\\begin{[\s\S]*?\\end{[\s\S]*?}|\$[^\$]+\$)/g);
@@ -149,21 +150,21 @@ const MarkdownComponents: Components = {
 
   h1(props) {
     const { children, ...rest } = props;
-    const text = typeof children === 'string' ? children : '';
-    const id = generateId(text);
-    return <h1 id={id} {...rest}>{children}</h1>;
+    const text = React.Children.toArray(children).join('');
+    const baseId = generateId(text);
+    return <h1 id={baseId} {...rest}>{children}</h1>;
   },
   h2(props) {
     const { children, ...rest } = props;
-    const text = typeof children === 'string' ? children : '';
-    const id = generateId(text);
-    return <h2 id={id} {...rest}>{children}</h2>;
+    const text = React.Children.toArray(children).join('');
+    const baseId = generateId(text);
+    return <h2 id={baseId} {...rest}>{children}</h2>;
   },
   h3(props) {
     const { children, ...rest } = props;
-    const text = typeof children === 'string' ? children : '';
-    const id = generateId(text);
-    return <h3 id={id} {...rest}>{children}</h3>;
+    const text = React.Children.toArray(children).join('');
+    const baseId = generateId(text);
+    return <h3 id={baseId} {...rest}>{children}</h3>;
   },
 };
 
diff --git a/src/components/PostCard.tsx b/src/components/PostCard.tsx
index 4451939..8c3f3d0 100644
--- a/src/components/PostCard.tsx
+++ b/src/components/PostCard.tsx
@@ -5,6 +5,7 @@ import remarkGfm from 'remark-gfm';
 import rehypeRaw from 'rehype-raw';
 import MarkdownComponents from './MarkdownComponents';
 import { categoryColors } from '../utils/constants';
+import { HeaderIndexProvider, useHeaderIndex } from '../context/HeaderIndexContext';
 
 function preprocessContent(content: string): string {
   // First, normalize line breaks in align environments
diff --git a/src/context/HeaderIndexContext.tsx b/src/context/HeaderIndexContext.tsx
deleted file mode 100644
index 77995ff..0000000
--- a/src/context/HeaderIndexContext.tsx
+++ /dev/null
@@ -1,34 +0,0 @@
-import React, { createContext, useContext, useState } from 'react';
-
-interface HeaderIndexContextType {
-  getNextIndex: () => number;
-  reset: () => void;
-}
-
-const HeaderIndexContext = createContext<HeaderIndexContextType | null>(null);
-
-export function HeaderIndexProvider({ children }: { children: React.ReactNode }) {
-  const [currentIndex, setCurrentIndex] = useState(0);
-
-  const getNextIndex = () => {
-    const index = currentIndex;
-    setCurrentIndex(prev => prev + 1);
-    return index;
-  };
-
-  const reset = () => setCurrentIndex(0);
-
-  return (
-    <HeaderIndexContext.Provider value={{ getNextIndex, reset }}>
-      {children}
-    </HeaderIndexContext.Provider>
-  );
-}
-
-export function useHeaderIndex() {
-  const context = useContext(HeaderIndexContext);
-  if (!context) {
-    throw new Error('useHeaderIndex must be used within a HeaderIndexProvider');
-  }
-  return context;
-}
diff --git a/src/utils/markdownUtils.ts b/src/utils/markdownUtils.ts
index bbe279f..9d08c40 100644
--- a/src/utils/markdownUtils.ts
+++ b/src/utils/markdownUtils.ts
@@ -1,6 +1,8 @@
 import frontMatter from 'front-matter';
 import { Post } from '../types/Post';
 import { getPosts } from './PostLoader';
+import ReactMarkdown from 'react-markdown';
+import { generateId } from './textUtils';
 
 export async function getAllPosts(): Promise<Post[]> {
   return getPosts();
@@ -65,12 +67,24 @@ export async function getPost(slug: string): Promise<Post> {
     const headerMatches = body.match(/^(### |## |# )(.*)$/gm);
     console.log('Raw header matches:', headerMatches);
 
+    // Create a map to track header occurrences
+    const headerOccurrences = new Map<string, number>();
+
     const headers = headerMatches?.map(header => {
       const level = header.startsWith('### ') ? 3 : header.startsWith('## ') ? 2 : 1;
       const text = header.replace(/^### |^## |^# /, '');
-      const id = text.toLowerCase().replace(/\s+/g, '-').replace(/[^a-z0-9-]/g, '');
-      console.log('Processing header:', { raw: header, level, text, id });
-      return { level, text, id };
+      
+      // Generate base ID
+      const baseId = generateId(text);
+      
+      // Track occurrences of this header
+      const count = headerOccurrences.get(baseId) || 0;
+      headerOccurrences.set(baseId, count + 1);
+      
+      // Add suffix if this is a duplicate
+      const id = count > 0 ? `${baseId}-${count}` : baseId;
+      
+      return { level, text, id, index: count };
     }) || [];
 
     console.log('Final TOC headers:', headers);

From 6adf52857adb4063ce8ef8668a6b55c3ae0106cb Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Tue, 11 Feb 2025 18:46:26 +0100
Subject: [PATCH 11/18] links with wrappers working. Still not duplicates but
 won't do

---
 src/components/MarkdownComponents.tsx | 23 ++++++++++++++++++++---
 src/components/PostCard.tsx           |  2 ++
 src/utils/markdownUtils.ts            |  4 ++--
 src/utils/textUtils.ts                | 19 ++++++++++++++-----
 4 files changed, 38 insertions(+), 10 deletions(-)

diff --git a/src/components/MarkdownComponents.tsx b/src/components/MarkdownComponents.tsx
index 3987781..a154158 100644
--- a/src/components/MarkdownComponents.tsx
+++ b/src/components/MarkdownComponents.tsx
@@ -28,6 +28,23 @@ function processMathInText(text: string) {
   });
 }
 
+function getTextFromChildren(children: React.ReactNode): string {
+  return React.Children.map(children, child => {
+    if (typeof child === 'string') {
+      return child;
+    }
+    if (React.isValidElement(child)) {
+      // If it's a code block, get its children as text
+      if (child.type === 'code') {
+        return child.props.children;
+      }
+      // Recursively get text from nested children
+      return getTextFromChildren(child.props.children);
+    }
+    return '';
+  }).join('');
+}
+
 const MarkdownComponents: Components = {
   code({ node, inline, className, children, ...props }: any) {
     const match = /language-(\w+)/.exec(className || '');
@@ -150,19 +167,19 @@ const MarkdownComponents: Components = {
 
   h1(props) {
     const { children, ...rest } = props;
-    const text = React.Children.toArray(children).join('');
+    const text = getTextFromChildren(children);
     const baseId = generateId(text);
     return <h1 id={baseId} {...rest}>{children}</h1>;
   },
   h2(props) {
     const { children, ...rest } = props;
-    const text = React.Children.toArray(children).join('');
+    const text = getTextFromChildren(children);
     const baseId = generateId(text);
     return <h2 id={baseId} {...rest}>{children}</h2>;
   },
   h3(props) {
     const { children, ...rest } = props;
-    const text = React.Children.toArray(children).join('');
+    const text = getTextFromChildren(children);
     const baseId = generateId(text);
     return <h3 id={baseId} {...rest}>{children}</h3>;
   },
diff --git a/src/components/PostCard.tsx b/src/components/PostCard.tsx
index 8c3f3d0..3568cc4 100644
--- a/src/components/PostCard.tsx
+++ b/src/components/PostCard.tsx
@@ -150,7 +150,9 @@ export function PostCard({ post, showFullContent = false, compact = false }: Pos
                       <ReactMarkdown
                         remarkPlugins={[remarkGfm]}
                         components={{
+                          // Override default components to render plain text
                           p: ({children}) => <>{children}</>,
+                          code: ({children}) => <>{children}</>,
                           strong: ({children}) => <strong>{children}</strong>,
                           em: ({children}) => <em>{children}</em>
                         }}
diff --git a/src/utils/markdownUtils.ts b/src/utils/markdownUtils.ts
index 9d08c40..683b1fa 100644
--- a/src/utils/markdownUtils.ts
+++ b/src/utils/markdownUtils.ts
@@ -74,7 +74,7 @@ export async function getPost(slug: string): Promise<Post> {
       const level = header.startsWith('### ') ? 3 : header.startsWith('## ') ? 2 : 1;
       const text = header.replace(/^### |^## |^# /, '');
       
-      // Generate base ID
+      // Generate base ID from the cleaned text
       const baseId = generateId(text);
       
       // Track occurrences of this header
@@ -84,7 +84,7 @@ export async function getPost(slug: string): Promise<Post> {
       // Add suffix if this is a duplicate
       const id = count > 0 ? `${baseId}-${count}` : baseId;
       
-      return { level, text, id, index: count };
+      return { level, text, id };
     }) || [];
 
     console.log('Final TOC headers:', headers);
diff --git a/src/utils/textUtils.ts b/src/utils/textUtils.ts
index 51afac2..aefc613 100644
--- a/src/utils/textUtils.ts
+++ b/src/utils/textUtils.ts
@@ -1,11 +1,20 @@
+export function stripMarkdown(text: string): string {
+  return text
+    .replace(/`([^`]+)`/g, '$1')           // Remove backticks
+    .replace(/\*\*([^*]+)\*\*/g, '$1')     // Remove bold
+    .replace(/\*([^*]+)\*/g, '$1')         // Remove italics
+    .replace(/_([^_]+)_/g, '$1');          // Remove underscores
+}
+
 export function generateId(text: string, index?: number): string {
-  const cleanText = text
-    .replace(/\*\*(.*?)\*\*/g, '$1')  // Remove bold
-    .replace(/\*(.*?)\*/g, '$1')      // Remove italic
-    .replace(/`(.*?)`/g, '$1')        // Remove code
+  // First strip markdown syntax
+  const cleanText = stripMarkdown(text);
+  
+  // Then generate the ID
+  const id = cleanText
     .toLowerCase()
     .replace(/[^a-z0-9]+/g, '-')
     .replace(/^-+|-+$/g, '');
   
-  return typeof index === 'number' ? `${cleanText}-${index + 1}` : cleanText;
+  return typeof index === 'number' ? `${id}-${index + 1}` : id;
 }

From ebab53c0c6b95f541a7b2f6b7b068439636563f7 Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Wed, 12 Feb 2025 13:37:41 +0100
Subject: [PATCH 12/18] starting with "working with notebooks"

---
 .../2024-09-08-working-with-notebooks.md      | 237 ++++++++++++++++++
 1 file changed, 237 insertions(+)
 create mode 100644 src/content/posts/2024-09-08-working-with-notebooks.md

diff --git a/src/content/posts/2024-09-08-working-with-notebooks.md b/src/content/posts/2024-09-08-working-with-notebooks.md
new file mode 100644
index 0000000..f6c2dfe
--- /dev/null
+++ b/src/content/posts/2024-09-08-working-with-notebooks.md
@@ -0,0 +1,237 @@
+---
+title: Working with notebooks
+date: '2024-09-08 00:00:00 +0000'
+permalink: /posts/working-with-notebooks
+categories:
+- Dev tools
+isPinned: true
+---
+
+TODO
+
+When I started moving beyond simple experiments and into the world of deploying AI models to production, the importance of Docker became crystal clear.  It wasn't just about making things run smoothly on my own machine anymore; it was about ensuring reliability, scalability, and maintainability in a real-world setting.  That's when I realized Docker wasn't optional – it was *essential*.  
+
+This post focuses on the Docker commands and troubleshooting skills I found critical for taking AI projects from the lab to production. The first version of this post was written while I was at Globality, where we would containerize our AI models, train with AWS Sagemaker, and deploy to ECS. Sometimes the model would fail to train. Sometimes it would fail to deploy. Let’s get started 🚀
+
+## Docker 101
+
+### Core concepts
+
+Docker is a containerization tool that allows you to package an application along with its dependencies into a lightweight, standalone container. This means that you can run the same application on any machine as long as it has Docker installed.
+
+You might find a more comprehensive overview [here](https://docs.docker.com/get-started/docker-overview/#docker-objects), but let's cover a few concepts:
+* **Container**: A container is an isolated environment that runs a single application.  It has its own file system, network stack, and processes.
+* **Images**: These are like templates for containers. An image allows you to create multiple containers from it.  You can think of an image as a blueprint for building a container. Another analogy is that Docker *images are like classes* of any OOP language, and *containers are like instances* of those classes.
+* **Registry**: A registry is a cloud location where images are stored. Dockerhub is the most popular public registry (like PyPi for Python packages) where you can store and share your own custom Docker images. While Docker Hub is the default and often the first place people go, organizations often use private registries for internal images that they don't want to share publicly. For AWS, that'd be [ECR](https://aws.amazon.com/es/ecr/).
+* **Repository**: A repository is a collection of images. It's like a folder in your file system where all the images for your project are stored.
+
+### Basic commands
+
+Docker can seem intimidating at first, but mastering a few core commands will get you a long way.  This section covers the essentials to get you started.
+
+#### Images
+
+*   **`docker pull <image_name>:<tag>`:** Downloads an image from a registry (like Docker Hub).  If you don't specify a tag, it defaults to `latest`.  Example: `docker pull ubuntu:latest`
+*   **`docker images`:** Lists all locally stored images. You can see both the image name and image id for each image.
+*   **`docker rmi <image_id>` or `docker rmi <image_name>`:** Removes a local image. Be careful, you can't remove an image that's currently in use by a container.
+
+#### Containers
+
+* **`docker build -t <image_name> .`:** Builds an image from a Dockerfile in the current directory.
+
+*   **`docker run <image_name>`:** Creates and starts a container from an image.  This is where you'll often add options:
+    *   `-d`: Runs the container in detached mode (background).
+    *   `-p <host_port>:<container_port>`: Publishes a container's port to the host.  Essential for accessing your application. Example: `-p 8080:80` maps port 80 inside the container to port 8080 on your machine.
+    *   `-v <host_path>:<container_path>`: Mounts a volume (directory) from the host into the container.  Useful for persisting data and sharing code. Example: `-v /path/on/host:/path/in/container`
+    *   `--name <container_name>`: Gives your container a memorable name.
+
+*   **`docker ps`:** Lists running containers, while `docker ps -a` to list also stopped containers.
+*   **`docker {stop,restart,rm} {<container_id>,<container_name>}`**: Stops, restarts or removes containers, based on id or name.
+
+## Dockerfile
+
+A Dockerfile is used to automate the creation of a Docker images. It defines a series of commands that will be executed when building an image. Here's a simple example:
+```dockerfile
+# Start from a base image from Dockerhub.
+FROM python:3.12-slim
+
+# Install uv.
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
+
+# Create a folder called app-folder for our app within the container
+WORKDIR /app-folder
+
+# Copy the application into the container, into /app-folder
+COPY . .
+
+# Install the application dependencies
+RUN uv sync --frozen --no-cache
+
+# Run the application
+CMD [".venv/bin/fastapi", "run", "app/main.py", "--port", "80", "--host", "0.0.0.0"]
+```
+inspired by uv's documentation [here](https://docs.astral.sh/uv/guides/integration/fastapi/#deployment). You might find the full code at my repo [here](https://github.com/marctorsoc/fastapi-with-uv-example). I simplified the source a bit to make clearer what the `WORKDIR` command does. Now, we would first build:
+```bash
+docker build -t fastapi-with-uv-example .         
+```
+and then run:
+```bash
+docker run -p 8000:80 -it fastapi-with-uv-example
+```
+Then, we can start a browser on http://localhost:8000/docs to see the FastAPI docs. If we don't want to see the logs, we can use `-d` to run it in detached mode, even though I suggest running it in a tmux session.
+
+## Troubleshooting with the toy example
+
+
+### How do I get into the container?
+
+Let's say that we want to get into the container and run the app ourselves, or check something. This can be done as follows:
+```bash
+docker run -it fastapi-with-uv-example bash
+```
+This will *create* the container and give us a shell inside the container. We need `-i` to make the container interactive, `-t` to allocate a pseudo-TTY (terminal), and `bash` to run bash inside the container. This is actually overwriting the `CMD` from the Dockerfile above, with a new command.
+
+If you rather want to get into a *running container*, then you'll do this instead:
+```bash
+docker ps
+docker exec -it <container name> /bin/bash
+```
+Note that `exec` runs a command within a running container, while `run` starts the container and then runs the command. And by the way, to see the logs of such running container, we can do:
+```bash
+docker logs -f <container name>
+```
+
+
+### What's the difference between `CMD` and `ENTRYPOINT`?
+
+The `CMD` and `ENTRYPOINT` are both used to specify a default command or program that should be executed when the container starts. However, they have different behaviors:
+- `ENTRYPOINT` specifies a program that will be executed when the container starts. It can take arguments, but it's an executable program itself. It is overwritten by using `--entrypoint` with `docker run`.
+- `CMD` specifies a default command that will be executed when the container starts. It can take arguments, but it's not an executable program itself. It is overwritten by adding arguments at the end of `docker run`, like we did with `bash`. 
+
+Note that `CMD` can be used in conjuction with `ENTRYPOINT`, to give arguments to the executable from `ENTRYPOINT`, but that's a bit of a hack. 
+
+### How to open a Jupyter lab server to play from within the Docker container?
+
+This might be a way to check dependencies, outputs or to debug in general with a nicer interace. First, let's run like this:
+```bash
+docker run -p 8000:80 -p 8000:81 -it fastapi-with-uv-example bash
+```
+This way we have one port for the FastAPI server and another for the Jupyter lab server. Now, we would create a tmux session and run the FastAPI server, that we can check at http://localhost:8000/. Then we can open another tmux session and run:
+```bash
+uv add jupyterlab
+uv run jupyter lab --port 81 --no-browser -—allow-root --ip "0.0.0.0"
+```
+Note that 1) it’s not "host" but "ip", and 2) we need the IP 0.0.0.0 to bind all network interfaces, which allows external connections to reach the Jupyter Lab server.
+
+
+## Memory issues
+
+During my time at Globality, I experimented several issues when training ML models, that were related to memory. That's why I found a bunch of tips and tricks that might be useful if you're in a similar situation.
+
+### Ensuring all memory is shared
+
+This is a bit more complicated that the question I posed, but if you are debugging and cannot make a high-performance computing application to work (like when training an ML model), it might help to add `--ipc=host` to the `docker run` command. See full reference in the Docker docs, since it comes with risks.
+
+### Limiting container memory
+
+To properly simulate the environment in production, you can limit the memory available to the container by using the `--memory` and `--memory-swap` flags (plus a few others, see Docker documentation).
+
+Here an example:
+```bash
+docker run --memory="10000m" --memory-swap=0 -it -v /<path-in-host>":<path-in-container>" --gpus all <docker-id> bash
+```
+For ubuntu, this capability is not available immediately after Docker installation. See [this page](https://www.serverlab.ca/tutorials/containers/docker/how-to-limit-memory-and-cpu-for-docker-containers/) for instructions to enable it (verified on ubuntu 18.04).
+To verify that the memory limit is applied once the container is running, and to see memory usage in real time, run `docker stats`.
+
+### Checking memory limits within Docker container
+
+The `docker run` container can be run with memory limits, as explained in [Check mem_limit within a docker container](https://stackoverflow.com/questions/42187085/check-mem-limit-within-a-docker-container). To check all limits that are set, add the following to one of the first lines of code that are run within the app:
+```python
+try: 
+   os.system("more /sys/fs/cgroup/memory/memory.* | cat") 
+except Exception as e: 
+   self.logger.info(e) 
+   self.logger.info("Problem running `more /sys/fs/cgroup/memory/memory.* | cat`")
+```
+See [here](https://www.kernel.org/doc/Documentation/cgroup-v1/memory.txt) for explanation of the fields. The most relevant are:
+
+* memory.soft_limit_in_bytes
+
+* memory.limit_in_bytes
+
+* memory.memsw.limit_in_bytes
+
+* memory.kmem.limit_in_bytes
+
+You might also look at the `*usage_in_bytes` just to double-check the memory at that point is low.
+
+
+## Problems with gpus
+
+First make sure you are passing `--gpus all` to `docker run`. Then, you might also need
+
+```bash
+sudo apt install nvidia-container-toolkit
+sudo apt install nvidia-cuda-toolkit
+sudo systemctl restart docker
+```
+
+Now, e.g:
+
+```bash
+watch -n 0.5 nvidia-smi 
+```
+to keep track of GPU memory every 0.5 seconds.
+
+## Rebuilding the Dockerfile
+
+The following will give you an approximate idea of how the Docker container was created. Note that this will show ALL parents, so if you container inherits from others, it will include those as well:
+
+
+```bash
+docker history --no-trunc -q <docker-id> > dockerfile_recreated
+```
+
+## Docker Compose
+
+If your application consists of multiple containers, Docker Compose simplifies management. It uses a `docker-compose.yml` file to define the services (containers) and their relationships. Here is an example of an app having backend, frontend, and a database:
+
+```yaml
+version: "3.9"
+
+services:
+  backend:
+    build: ./backend
+    ports:
+      - "8000:8000"
+    depends_on:
+      - db
+    environment:
+      - DATABASE_URL=postgresql://user:password@db:5432/dbname
+    volumes:
+      - db_data:/var/lib/postgresql/data
+
+  frontend:
+    build: ./frontend
+    ports:
+      - "3000:80"
+    depends_on:
+      - backend
+
+  db:
+    image: postgres:13-alpine
+    ports:
+      - "5432:5432"
+    environment:
+      - POSTGRES_USER=user
+      - POSTGRES_PASSWORD=password
+      - POSTGRES_DB=dbname
+    volumes:
+      - db_data:/var/lib/postgresql/data
+
+volumes:
+  db_data:
+```
+And the essential commands here:
+*   **`docker-compose up`:** Builds (if necessary) and starts all the services defined in the `docker-compose.yml` file. Add `-d` for detached mode.
+*   **`docker-compose down`:** Stops and removes the containers defined in the `docker-compose.yml` file.

From da00e6d657aae1b58572fcd06cf136c0928a53d4 Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Wed, 12 Feb 2025 17:43:38 +0100
Subject: [PATCH 13/18] tmp working with NBs

---
 package-lock.json                                   |  4 ++--
 .../posts/2024-09-08-working-with-notebooks.md      | 13 ++++++++++++-
 2 files changed, 14 insertions(+), 3 deletions(-)

diff --git a/package-lock.json b/package-lock.json
index 3d00bb2..ac5a8f5 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,11 +1,11 @@
 {
-  "name": "marctorsoc.github.io",
+  "name": "my-website",
   "version": "0.1.0",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
-      "name": "marctorsoc.github.io",
+      "name": "my-website",
       "version": "0.1.0",
       "dependencies": {
         "front-matter": "^4.0.2",
diff --git a/src/content/posts/2024-09-08-working-with-notebooks.md b/src/content/posts/2024-09-08-working-with-notebooks.md
index f6c2dfe..544d856 100644
--- a/src/content/posts/2024-09-08-working-with-notebooks.md
+++ b/src/content/posts/2024-09-08-working-with-notebooks.md
@@ -7,7 +7,18 @@ categories:
 isPinned: true
 ---
 
-TODO
+In data science, experimentation is key. You often need to explore datasets, visualize results, tweak models, and iterate quickly. **Jupyter notebooks** provide an ideal environment for this workflow:
+
+* 📝 Interactive execution: Run code in small, manageable chunks instead of executing entire scripts.
+* 📊 Rich outputs: Easily display tables, charts, and even interactive visualizations inline.
+* 🔄 Reproducibility: Keep code, results, and documentation together in a structured way.
+
+Because of these benefits, Jupyter notebooks have become a go-to tool for data scientists. For years, I used
+to work first in the classic Jupyter Notebook, and later on with JupyterLab. But still, I felt myself 
+transitioning from prototyping in Jupyter on the browser, to writing *serious code* on my IDE (at the time, 
+Pycharm). When working remotely, I had my system where I would have a service in the EC2 instance,
+create a tunnel, and access via browser as if the Jupyter server was local. See [here](/posts/jupyter-lab-on-a-remote-machine/) for details of my config.
+
 
 When I started moving beyond simple experiments and into the world of deploying AI models to production, the importance of Docker became crystal clear.  It wasn't just about making things run smoothly on my own machine anymore; it was about ensuring reliability, scalability, and maintainability in a real-world setting.  That's when I realized Docker wasn't optional – it was *essential*.  
 

From 6f9a1c61219b4b5564f6e0e833f752489fb915a6 Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Thu, 13 Feb 2025 10:27:18 +0100
Subject: [PATCH 14/18] tmp commit for working with notebooks, improving ToC
 look

---
 public/content/notebook-inline-value.jpg      | Bin 0 -> 14245 bytes
 public/content/notebook-run-cells-section.jpg | Bin 0 -> 99623 bytes
 public/content/page-repr.jpg                  | Bin 0 -> 107136 bytes
 src/components/Post.tsx                       |   0
 src/components/PostCard.tsx                   |   1 +
 src/components/TableOfContents.tsx            |   0
 .../posts/2017-11-06-python-tips-tricks.md    |  21 +-
 ...9-02-08-jupyter-lab-on-a-remote-machine.md |  10 +-
 ...8-easy-recipes-for-a-(bit)-better-world.md |   2 +-
 src/content/posts/2023-08-25-docker.md        |   6 +-
 .../2024-09-08-working-with-notebooks.md      | 248 ----------------
 .../2025-02-08-data-science-on-remote.md      |   4 +-
 .../2025-02-13-working-with-notebooks.md      | 280 ++++++++++++++++++
 src/pages/Blog.tsx                            |   8 +-
 src/pages/Home.tsx                            |   2 +-
 src/types/Post.ts                             |   1 +
 src/utils/PostLoader.ts                       |  36 +--
 src/utils/constants.ts                        |   5 +-
 src/utils/markdownUtils.ts                    |  34 +--
 src/utils/tocUtils.ts                         |  46 +++
 20 files changed, 369 insertions(+), 335 deletions(-)
 create mode 100644 public/content/notebook-inline-value.jpg
 create mode 100644 public/content/notebook-run-cells-section.jpg
 create mode 100644 public/content/page-repr.jpg
 create mode 100644 src/components/Post.tsx
 create mode 100644 src/components/TableOfContents.tsx
 delete mode 100644 src/content/posts/2024-09-08-working-with-notebooks.md
 create mode 100644 src/content/posts/2025-02-13-working-with-notebooks.md
 create mode 100644 src/utils/tocUtils.ts

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diff --git a/src/components/Post.tsx b/src/components/Post.tsx
new file mode 100644
index 0000000..e69de29
diff --git a/src/components/PostCard.tsx b/src/components/PostCard.tsx
index 3568cc4..33f06eb 100644
--- a/src/components/PostCard.tsx
+++ b/src/components/PostCard.tsx
@@ -50,6 +50,7 @@ function preprocessContent(content: string): string {
 interface PostCardProps {
   post: Post;
   isPinned?: boolean;
+  isArchived?: boolean;
   showFullContent?: boolean;
   maxPreviewChars?: number;
   compact?: boolean;
diff --git a/src/components/TableOfContents.tsx b/src/components/TableOfContents.tsx
new file mode 100644
index 0000000..e69de29
diff --git a/src/content/posts/2017-11-06-python-tips-tricks.md b/src/content/posts/2017-11-06-python-tips-tricks.md
index d65a812..afdfb93 100644
--- a/src/content/posts/2017-11-06-python-tips-tricks.md
+++ b/src/content/posts/2017-11-06-python-tips-tricks.md
@@ -5,17 +5,14 @@ permalink: /posts/python-tips-tricks
 categories:
   - Dev tools
 isPinned: false
+isArchived: true
 ---
 
-<p style="text-align: justify;">Today I'm going to explain some of the lessons and tools I've found that could be useful for someone developing data science (and also general purpose projects) in Python:</p>
+Today I'm going to explain some of the lessons and tools I've found that could be useful for someone developing data science (and also general purpose projects) in Python.
 
-  * Ipython
-  * Notebooks
-  * Tricks for python in a terminal
+For the readers already working in Python, probably some of these items are already known. But I love shortcuts and ways to save time, so maybe you can still find something useful in what follows.
 
-<p style="text-align: justify;">For the readers already working in Python, probably some of these items are already known. But I love shortcuts and ways to save time, so maybe you can still find something useful in what follows.</p>
-
-**IPython**
+## IPython
 
 <p style="text-align: justify;">An improved version of the typical python shell. Actually the "i" comes from "interactive", but I would rather say that it's more an improved version.</p>
 
@@ -31,7 +28,7 @@ In case you are in Ubuntu, you can also run
   <span style="font-family: 'courier new', courier, monospace;">sudo apt install python-ipython</span>
 </p>
 
-<p style="text-align: justify;">Hey, it's not a mistake. , since last versions, apt-get has been simplified to just <a href="https://itsfoss.com/apt-vs-apt-get-difference/">apt</a>. The advantages of ipython w.r.t. classical python shell are many, let's enumerate some:</p>
+Hey, it's not a mistake. As of last versions, `apt-get` has been simplified to just <a href="https://itsfoss.com/apt-vs-apt-get-difference/">apt</a>. The advantages of ipython w.r.t. classical python shell are many, let's enumerate some:
 
   * <p style="text-align: justify;">As in a unix terminal, you can autocomplete and see suggestions using the tab command. Something really appreciated when introducing filenames, names of variables, etc.</p>
   * <p style="text-align: justify;">Using the alt key, ipython allows to move the cursor word by word. This feature is not available (at least in my Mac) when using the classical python shell</p>
@@ -43,7 +40,7 @@ In case you are in Ubuntu, you can also run
     <img src="/content/ipython_help.png" alt="" width="80%" />
   </div> <p> </p>
 
-<span style="font-size: 12pt;"><strong>Profiles</strong></span>
+### Profiles
 
 <p style="text-align: justify;">Have you ever been programming in your favorite IDE and thought: "Is numpy/pandas accepting this? I'm gonna try in a terminal a toy example, just to be sure". Then you go to a terminal, write <span style="font-family: 'courier new', courier, monospace;">[i]python </span>and you have to write, for 334th time in a week, the famous:</p>
 
@@ -74,7 +71,7 @@ In case you are in Ubuntu, you can also run
   1. Modify the default profile, found in the same directory as the profiles we create
   2. Create an alias, see last section in this post
 
-**Notebooks**
+## Notebooks
 
 <p style="text-align: justify;">Jupyter notebooks are really powerful environments where you can develop applications not only in Python, but also other programming languages such as R. They are a complete world, and I'm not gonna explain the entire list of features they have. See an example <a href="https://nbviewer.jupyter.org/github/marctorrellas/christmas_routes/blob/master/christmas_routes.ipynb">here</a>. As you can see they might be useful to present work to other people, but also to have a more dynamic environment where you can run just some pieces of the code, so standing as an intermediate player between the terminal an running code in IDEs.</p>
 
@@ -109,7 +106,7 @@ and you can run it by
 
 <p style="text-align: justify;">Another feature I like is notebook <a href="https://github.com/dunovank/jupyter-themes">themes</a>. Some of us don't like to code in a black on white schema (white background, black fonts) , though there is a lot of controversy about this. To be honest, before writing this post I always thought that it was healthier for my eyes, but it turns out that it depends on the environment light, and also everyone eyesight. In any case, if you feel better or at least the same with dark themes, you can do your bit and saving battery and energy, which is both good for your pocket and your planet. Instructions can be found at the link.</p>
 
- **Python in a terminal**
+ ## Python in a terminal
 
 <p style="text-align: justify;">I highly recommend working in an Integrated Development Environment (IDE) to develop code and use Version Control System (VCS). My favorites are <a href="https://www.jetbrains.com/pycharm/">Pycharm</a> and <a href="http://rogerdudler.github.io/git-guide/">Git</a>, respectively. They are free, popular, and enough for almost any task. However, in some situations we prefer/have to work in a python shell. Here I give you some tips and tricks to improve your experience in that situation.</p>
 
@@ -144,7 +141,7 @@ These alias just create shortcuts to save time, e.g:
   * <p style="text-align: justify;">control+z: send to sleep (background) current process. This can be useful if you want to try something in terminal without losing your workspace in Python. Or if you want to work with two different python environments at the same time, since typing Python will start a new and completely independent environment. To return to the last slept process, run <span style="font-family: 'courier new', courier, monospace;">fg</span> (foreground). A list of the current processes in a terminal can be obtained by running <span style="font-family: 'courier new', courier, monospace;">jobs</span>. More info about this <a href="http://www.thegeekstuff.com/2010/05/unix-background-job/">here</a>.</p>
   * <p style="text-align: justify;">I love using *home* and *end* buttons, but in my Mac I don't have them, and first days I was really disappointed. In some applications, such as in the browser, you can move cursor to beginning and end of line by pressing cmd+left/right cursor, but it doesn't work in the terminal. In such a case, the default shortcut is control+a and control+e. This works for the ipython shell as well.</p>
 
- **Conclusion**
+ ## Conclusion
 
 <p style="text-align: justify;">Today we have reviewed some tips and tricks for working with Python in a more agile way. There are many many other things that I could recommend, but they'll probably be matter of future posts. Mainly, we have reviewed the usefulness of ipython as a better interface to run python commands rather than the classical shell; notebooks as an innovate way of working and presenting work with Python; and finally some tips and tricks for using Python and related tools in a terminal.</p>
 
diff --git a/src/content/posts/2019-02-08-jupyter-lab-on-a-remote-machine.md b/src/content/posts/2019-02-08-jupyter-lab-on-a-remote-machine.md
index e7c9f83..1e5c0a7 100644
--- a/src/content/posts/2019-02-08-jupyter-lab-on-a-remote-machine.md
+++ b/src/content/posts/2019-02-08-jupyter-lab-on-a-remote-machine.md
@@ -1,5 +1,5 @@
 ---
-title: Jupyterlab on a Remote Machine
+title: JupyterLab on a Remote Machine
 date: '2019-02-08 00:00:00 +0000'
 permalink: /posts/jupyter-lab-on-a-remote-machine/
 categories:
@@ -16,7 +16,7 @@ Today we'll see my config for running Jupyter notebooks when working on a Remote
 
 Jupyter notebooks are very powerful tools for easy prototyping in Python (or even R!), but also for intensive development. However, one typically runs the Jupyter server in local, and connect via browser. How do we do this when we want the Python to run in our remote box?
 
-1. Install Jupyter lab in the remote box to be able to run the notebook server, e.g. `conda install jupyterlab` if working with `conda`.
+1. Install JupyterLab in the remote box to be able to run the notebook server, e.g. `conda install jupyterlab` if working with `conda`.
 
 1. `jupyter lab --no-browser --port=8089.`
 
@@ -33,14 +33,14 @@ to your `~/.bashrc`. This will make the tunnel always active but in the backgrou
 To make it effective either restart the terminal or `source ~/.bashrc`.
 
 
-## Jupyter lab as a service
+## JupyterLab as a service
 
-Now you're able to run notebooks on the remote machine, and accessing to them via browser. So, even though it says `localhost:8000`, you're in the server! However, it's really annoying going to the remote machine and start the Jupyter lab server every time. This can be automated by running it as a service <a href="https://aichamp.wordpress.com/2017/06/13/setting-up-jupyter-notebook-server-as-service-in-ubuntu-16-04/">source</a>:
+Now you're able to run notebooks on the remote machine, and accessing to them via browser. So, even though it says `localhost:8000`, you're in the server! However, it's really annoying going to the remote machine and start the JupyterLab server every time. This can be automated by running it as a service <a href="https://aichamp.wordpress.com/2017/06/13/setting-up-jupyter-notebook-server-as-service-in-ubuntu-16-04/">source</a>:
 
 * Set the service file `/usr/lib/systemd/system/jupyter.service` (yes, you probably need to create some dirs) as in
 ```bash 
 [Unit]
-Description=Jupyter Lab
+Description=JupyterLab
 
 [Service]
 Type=simple
diff --git a/src/content/posts/2019-11-08-easy-recipes-for-a-(bit)-better-world.md b/src/content/posts/2019-11-08-easy-recipes-for-a-(bit)-better-world.md
index 14738e0..4f8b8dd 100644
--- a/src/content/posts/2019-11-08-easy-recipes-for-a-(bit)-better-world.md
+++ b/src/content/posts/2019-11-08-easy-recipes-for-a-(bit)-better-world.md
@@ -59,7 +59,7 @@ different extensions my recommendation is to use <a href="https://chrome.google.
 * You can switch from dark to light mode easily just with two clicks
 * You can select which sites you don't want the dark mode to be applied on. For example, I
 disabled local Jupyter notebooks by going to Site list and typing `localhost:8888` in the filter.
-As Jupyter lab has its own Dark Mode, I can rely on it better than using this extension.
+Since JupyterLab has its own Dark Mode, I can rely on it better than using this extension.
 
 
 ## Every search counts
diff --git a/src/content/posts/2023-08-25-docker.md b/src/content/posts/2023-08-25-docker.md
index b06b0c8..f0b5eba 100644
--- a/src/content/posts/2023-08-25-docker.md
+++ b/src/content/posts/2023-08-25-docker.md
@@ -108,18 +108,18 @@ The `CMD` and `ENTRYPOINT` are both used to specify a default command or program
 
 Note that `CMD` can be used in conjuction with `ENTRYPOINT`, to give arguments to the executable from `ENTRYPOINT`, but that's a bit of a hack. 
 
-### How to open a Jupyter lab server to play from within the Docker container?
+### How to open a JupyterLab server to play from within the Docker container?
 
 This might be a way to check dependencies, outputs or to debug in general with a nicer interace. First, let's run like this:
 ```bash
 docker run -p 8000:80 -p 8000:81 -it fastapi-with-uv-example bash
 ```
-This way we have one port for the FastAPI server and another for the Jupyter lab server. Now, we would create a tmux session and run the FastAPI server, that we can check at http://localhost:8000/. Then we can open another tmux session and run:
+This way we have one port for the FastAPI server and another for the JupyterLab server. Now, we would create a tmux session and run the FastAPI server, that we can check at http://localhost:8000/. Then we can open another tmux session and run:
 ```bash
 uv add jupyterlab
 uv run jupyter lab --port 81 --no-browser -—allow-root --ip "0.0.0.0"
 ```
-Note that 1) it’s not "host" but "ip", and 2) we need the IP 0.0.0.0 to bind all network interfaces, which allows external connections to reach the Jupyter Lab server.
+Note that 1) it’s not "host" but "ip", and 2) we need the IP 0.0.0.0 to bind all network interfaces, which allows external connections to reach the JupyterLab server.
 
 
 ## Memory issues
diff --git a/src/content/posts/2024-09-08-working-with-notebooks.md b/src/content/posts/2024-09-08-working-with-notebooks.md
deleted file mode 100644
index 544d856..0000000
--- a/src/content/posts/2024-09-08-working-with-notebooks.md
+++ /dev/null
@@ -1,248 +0,0 @@
----
-title: Working with notebooks
-date: '2024-09-08 00:00:00 +0000'
-permalink: /posts/working-with-notebooks
-categories:
-- Dev tools
-isPinned: true
----
-
-In data science, experimentation is key. You often need to explore datasets, visualize results, tweak models, and iterate quickly. **Jupyter notebooks** provide an ideal environment for this workflow:
-
-* 📝 Interactive execution: Run code in small, manageable chunks instead of executing entire scripts.
-* 📊 Rich outputs: Easily display tables, charts, and even interactive visualizations inline.
-* 🔄 Reproducibility: Keep code, results, and documentation together in a structured way.
-
-Because of these benefits, Jupyter notebooks have become a go-to tool for data scientists. For years, I used
-to work first in the classic Jupyter Notebook, and later on with JupyterLab. But still, I felt myself 
-transitioning from prototyping in Jupyter on the browser, to writing *serious code* on my IDE (at the time, 
-Pycharm). When working remotely, I had my system where I would have a service in the EC2 instance,
-create a tunnel, and access via browser as if the Jupyter server was local. See [here](/posts/jupyter-lab-on-a-remote-machine/) for details of my config.
-
-
-When I started moving beyond simple experiments and into the world of deploying AI models to production, the importance of Docker became crystal clear.  It wasn't just about making things run smoothly on my own machine anymore; it was about ensuring reliability, scalability, and maintainability in a real-world setting.  That's when I realized Docker wasn't optional – it was *essential*.  
-
-This post focuses on the Docker commands and troubleshooting skills I found critical for taking AI projects from the lab to production. The first version of this post was written while I was at Globality, where we would containerize our AI models, train with AWS Sagemaker, and deploy to ECS. Sometimes the model would fail to train. Sometimes it would fail to deploy. Let’s get started 🚀
-
-## Docker 101
-
-### Core concepts
-
-Docker is a containerization tool that allows you to package an application along with its dependencies into a lightweight, standalone container. This means that you can run the same application on any machine as long as it has Docker installed.
-
-You might find a more comprehensive overview [here](https://docs.docker.com/get-started/docker-overview/#docker-objects), but let's cover a few concepts:
-* **Container**: A container is an isolated environment that runs a single application.  It has its own file system, network stack, and processes.
-* **Images**: These are like templates for containers. An image allows you to create multiple containers from it.  You can think of an image as a blueprint for building a container. Another analogy is that Docker *images are like classes* of any OOP language, and *containers are like instances* of those classes.
-* **Registry**: A registry is a cloud location where images are stored. Dockerhub is the most popular public registry (like PyPi for Python packages) where you can store and share your own custom Docker images. While Docker Hub is the default and often the first place people go, organizations often use private registries for internal images that they don't want to share publicly. For AWS, that'd be [ECR](https://aws.amazon.com/es/ecr/).
-* **Repository**: A repository is a collection of images. It's like a folder in your file system where all the images for your project are stored.
-
-### Basic commands
-
-Docker can seem intimidating at first, but mastering a few core commands will get you a long way.  This section covers the essentials to get you started.
-
-#### Images
-
-*   **`docker pull <image_name>:<tag>`:** Downloads an image from a registry (like Docker Hub).  If you don't specify a tag, it defaults to `latest`.  Example: `docker pull ubuntu:latest`
-*   **`docker images`:** Lists all locally stored images. You can see both the image name and image id for each image.
-*   **`docker rmi <image_id>` or `docker rmi <image_name>`:** Removes a local image. Be careful, you can't remove an image that's currently in use by a container.
-
-#### Containers
-
-* **`docker build -t <image_name> .`:** Builds an image from a Dockerfile in the current directory.
-
-*   **`docker run <image_name>`:** Creates and starts a container from an image.  This is where you'll often add options:
-    *   `-d`: Runs the container in detached mode (background).
-    *   `-p <host_port>:<container_port>`: Publishes a container's port to the host.  Essential for accessing your application. Example: `-p 8080:80` maps port 80 inside the container to port 8080 on your machine.
-    *   `-v <host_path>:<container_path>`: Mounts a volume (directory) from the host into the container.  Useful for persisting data and sharing code. Example: `-v /path/on/host:/path/in/container`
-    *   `--name <container_name>`: Gives your container a memorable name.
-
-*   **`docker ps`:** Lists running containers, while `docker ps -a` to list also stopped containers.
-*   **`docker {stop,restart,rm} {<container_id>,<container_name>}`**: Stops, restarts or removes containers, based on id or name.
-
-## Dockerfile
-
-A Dockerfile is used to automate the creation of a Docker images. It defines a series of commands that will be executed when building an image. Here's a simple example:
-```dockerfile
-# Start from a base image from Dockerhub.
-FROM python:3.12-slim
-
-# Install uv.
-COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
-
-# Create a folder called app-folder for our app within the container
-WORKDIR /app-folder
-
-# Copy the application into the container, into /app-folder
-COPY . .
-
-# Install the application dependencies
-RUN uv sync --frozen --no-cache
-
-# Run the application
-CMD [".venv/bin/fastapi", "run", "app/main.py", "--port", "80", "--host", "0.0.0.0"]
-```
-inspired by uv's documentation [here](https://docs.astral.sh/uv/guides/integration/fastapi/#deployment). You might find the full code at my repo [here](https://github.com/marctorsoc/fastapi-with-uv-example). I simplified the source a bit to make clearer what the `WORKDIR` command does. Now, we would first build:
-```bash
-docker build -t fastapi-with-uv-example .         
-```
-and then run:
-```bash
-docker run -p 8000:80 -it fastapi-with-uv-example
-```
-Then, we can start a browser on http://localhost:8000/docs to see the FastAPI docs. If we don't want to see the logs, we can use `-d` to run it in detached mode, even though I suggest running it in a tmux session.
-
-## Troubleshooting with the toy example
-
-
-### How do I get into the container?
-
-Let's say that we want to get into the container and run the app ourselves, or check something. This can be done as follows:
-```bash
-docker run -it fastapi-with-uv-example bash
-```
-This will *create* the container and give us a shell inside the container. We need `-i` to make the container interactive, `-t` to allocate a pseudo-TTY (terminal), and `bash` to run bash inside the container. This is actually overwriting the `CMD` from the Dockerfile above, with a new command.
-
-If you rather want to get into a *running container*, then you'll do this instead:
-```bash
-docker ps
-docker exec -it <container name> /bin/bash
-```
-Note that `exec` runs a command within a running container, while `run` starts the container and then runs the command. And by the way, to see the logs of such running container, we can do:
-```bash
-docker logs -f <container name>
-```
-
-
-### What's the difference between `CMD` and `ENTRYPOINT`?
-
-The `CMD` and `ENTRYPOINT` are both used to specify a default command or program that should be executed when the container starts. However, they have different behaviors:
-- `ENTRYPOINT` specifies a program that will be executed when the container starts. It can take arguments, but it's an executable program itself. It is overwritten by using `--entrypoint` with `docker run`.
-- `CMD` specifies a default command that will be executed when the container starts. It can take arguments, but it's not an executable program itself. It is overwritten by adding arguments at the end of `docker run`, like we did with `bash`. 
-
-Note that `CMD` can be used in conjuction with `ENTRYPOINT`, to give arguments to the executable from `ENTRYPOINT`, but that's a bit of a hack. 
-
-### How to open a Jupyter lab server to play from within the Docker container?
-
-This might be a way to check dependencies, outputs or to debug in general with a nicer interace. First, let's run like this:
-```bash
-docker run -p 8000:80 -p 8000:81 -it fastapi-with-uv-example bash
-```
-This way we have one port for the FastAPI server and another for the Jupyter lab server. Now, we would create a tmux session and run the FastAPI server, that we can check at http://localhost:8000/. Then we can open another tmux session and run:
-```bash
-uv add jupyterlab
-uv run jupyter lab --port 81 --no-browser -—allow-root --ip "0.0.0.0"
-```
-Note that 1) it’s not "host" but "ip", and 2) we need the IP 0.0.0.0 to bind all network interfaces, which allows external connections to reach the Jupyter Lab server.
-
-
-## Memory issues
-
-During my time at Globality, I experimented several issues when training ML models, that were related to memory. That's why I found a bunch of tips and tricks that might be useful if you're in a similar situation.
-
-### Ensuring all memory is shared
-
-This is a bit more complicated that the question I posed, but if you are debugging and cannot make a high-performance computing application to work (like when training an ML model), it might help to add `--ipc=host` to the `docker run` command. See full reference in the Docker docs, since it comes with risks.
-
-### Limiting container memory
-
-To properly simulate the environment in production, you can limit the memory available to the container by using the `--memory` and `--memory-swap` flags (plus a few others, see Docker documentation).
-
-Here an example:
-```bash
-docker run --memory="10000m" --memory-swap=0 -it -v /<path-in-host>":<path-in-container>" --gpus all <docker-id> bash
-```
-For ubuntu, this capability is not available immediately after Docker installation. See [this page](https://www.serverlab.ca/tutorials/containers/docker/how-to-limit-memory-and-cpu-for-docker-containers/) for instructions to enable it (verified on ubuntu 18.04).
-To verify that the memory limit is applied once the container is running, and to see memory usage in real time, run `docker stats`.
-
-### Checking memory limits within Docker container
-
-The `docker run` container can be run with memory limits, as explained in [Check mem_limit within a docker container](https://stackoverflow.com/questions/42187085/check-mem-limit-within-a-docker-container). To check all limits that are set, add the following to one of the first lines of code that are run within the app:
-```python
-try: 
-   os.system("more /sys/fs/cgroup/memory/memory.* | cat") 
-except Exception as e: 
-   self.logger.info(e) 
-   self.logger.info("Problem running `more /sys/fs/cgroup/memory/memory.* | cat`")
-```
-See [here](https://www.kernel.org/doc/Documentation/cgroup-v1/memory.txt) for explanation of the fields. The most relevant are:
-
-* memory.soft_limit_in_bytes
-
-* memory.limit_in_bytes
-
-* memory.memsw.limit_in_bytes
-
-* memory.kmem.limit_in_bytes
-
-You might also look at the `*usage_in_bytes` just to double-check the memory at that point is low.
-
-
-## Problems with gpus
-
-First make sure you are passing `--gpus all` to `docker run`. Then, you might also need
-
-```bash
-sudo apt install nvidia-container-toolkit
-sudo apt install nvidia-cuda-toolkit
-sudo systemctl restart docker
-```
-
-Now, e.g:
-
-```bash
-watch -n 0.5 nvidia-smi 
-```
-to keep track of GPU memory every 0.5 seconds.
-
-## Rebuilding the Dockerfile
-
-The following will give you an approximate idea of how the Docker container was created. Note that this will show ALL parents, so if you container inherits from others, it will include those as well:
-
-
-```bash
-docker history --no-trunc -q <docker-id> > dockerfile_recreated
-```
-
-## Docker Compose
-
-If your application consists of multiple containers, Docker Compose simplifies management. It uses a `docker-compose.yml` file to define the services (containers) and their relationships. Here is an example of an app having backend, frontend, and a database:
-
-```yaml
-version: "3.9"
-
-services:
-  backend:
-    build: ./backend
-    ports:
-      - "8000:8000"
-    depends_on:
-      - db
-    environment:
-      - DATABASE_URL=postgresql://user:password@db:5432/dbname
-    volumes:
-      - db_data:/var/lib/postgresql/data
-
-  frontend:
-    build: ./frontend
-    ports:
-      - "3000:80"
-    depends_on:
-      - backend
-
-  db:
-    image: postgres:13-alpine
-    ports:
-      - "5432:5432"
-    environment:
-      - POSTGRES_USER=user
-      - POSTGRES_PASSWORD=password
-      - POSTGRES_DB=dbname
-    volumes:
-      - db_data:/var/lib/postgresql/data
-
-volumes:
-  db_data:
-```
-And the essential commands here:
-*   **`docker-compose up`:** Builds (if necessary) and starts all the services defined in the `docker-compose.yml` file. Add `-d` for detached mode.
-*   **`docker-compose down`:** Stops and removes the containers defined in the `docker-compose.yml` file.
diff --git a/src/content/posts/2025-02-08-data-science-on-remote.md b/src/content/posts/2025-02-08-data-science-on-remote.md
index 4abdb05..7888508 100644
--- a/src/content/posts/2025-02-08-data-science-on-remote.md
+++ b/src/content/posts/2025-02-08-data-science-on-remote.md
@@ -112,9 +112,9 @@ Running long processes remotely requires keeping them active even if the connect
 
 ## VS Code's Remote Development: A Game Changer
 
-If you checked my old posts, you'll see I was big proponent of Pycharm over VScode. However, I used to run notebooks on a Jupyter server, and then connected via browser after setting up a tunnel. You can check [here](/posts/jupyter-lab-on-a-remote-machine/) my old config if still useful at all. I really liked Pycharm's Git integration, especially for merges and comparing branches. And, to be honest, I still think it's a better inferface than the one in VScode. At least with all extensions I tried.
+If you checked my old posts, you'll see I was big proponent of Pycharm over VSCode. However, I used to run notebooks on a Jupyter server, and then connected via browser after setting up a tunnel. You can check [here](/posts/jupyter-lab-on-a-remote-machine/) my old config if still useful at all. I really liked Pycharm's Git integration, especially for merges and comparing branches. And, to be honest, I still think it's a better inferface than the one in VSCode. At least with all extensions I tried.
 
-But at some point I found VSCode's Remotes feature, and it really became a game changer for me. VScode supports:
+But at some point I found VSCode's Remotes feature, and it really became a game changer for me. VSCode supports:
 - Opening notebooks directly in the IDE, which means you get all the advantages of being an IDE (code and imports completion, error highlighting, search, debugging, etc.)
 - Running notebooks on the remote machine, with the same experience as if it was running locally
 - LLM-powered autocomplete within the notebook itself!
diff --git a/src/content/posts/2025-02-13-working-with-notebooks.md b/src/content/posts/2025-02-13-working-with-notebooks.md
new file mode 100644
index 0000000..d46789e
--- /dev/null
+++ b/src/content/posts/2025-02-13-working-with-notebooks.md
@@ -0,0 +1,280 @@
+---
+title: Working with notebooks
+date: '2025-02-13 00:00:00 +0000'
+permalink: /posts/working-with-notebooks
+categories:
+- Dev tools
+isPinned: true
+---
+
+In data science, experimentation is key. You often need to explore datasets, visualize results, tweak models, and iterate quickly. **Jupyter notebooks** provide an ideal environment for this workflow:
+
+* 📝 Interactive execution: Run code in small, manageable chunks instead of executing entire scripts.
+* 📊 Rich outputs: Easily display tables, charts, and even interactive visualizations inline.
+* 🔄 Reproducibility: Keep code, results, and documentation together in a structured way.
+
+Because of these benefits, Jupyter notebooks have become a go-to tool for data scientists. 
+
+## Working with Jupyter
+
+For years, I used to work first in the classic Jupyter Notebooks, and later on with JupyterLab. But still, I felt myself 
+transitioning from prototyping in Jupyter on the browser, to writing *serious code* in my IDE (at the time, 
+Pycharm). When working remotely, I had my system where I would have a service in the EC2 instance,
+create a tunnel, and access via browser as if the Jupyter server was local. See [here](/posts/jupyter-lab-on-a-remote-machine/) for details of my old config.
+
+
+## VSCode: A Better Integrated Experience
+
+But while working at Globality, I figured that not having a good way to edit Python files (not notebooks) with the advantages of an IDE was a big impairment of my workflow. And here's where I embraced VSCode. I was very reluctant to VSCode at first, because for me their Git integration was not as good as Pycharm. But eventually the many advantages surpassed this little issue (which I still miss, to be honest). The main reasons for my move to VSCode were:
+
+- **Integrated Development Environment (IDE)**: VSCode has an excellent IDE with features like code completion, imports, navigation to sources, and syntax highlighting directly in the editor itself, for notebooks. So you can edit Python scripts and notebooks within the same app!
+- **Remote Development**: VSCode allows easily to connect to remote via ssh, and edit files with the same experience you would have if the files were local. Same for interaction with remote notebooks.
+- **Easy navigation**: I used to employ this [extension](https://github.com/jupyterlab/jupyterlab-toc) to help me navigate through my notebooks via the markdown headers. In VSCode, this is already integrated in the IDE (called `outline`).
+
+### Autocomplete
+
+With the recent advances in AI, now we can run a small LLM (yes, sounds like a contradiction a small large language model) in our laptops. This is great, because it means we can have autocompletions **for free** and **without requiring an internet connection**. It even has privacy implications.
+
+In my case, I have an M3 and I use [ollama](https://ollama.com/library/qwen2.5-coder:1.5b) and [continue](https://docs.continue.dev/customize/model-providers/ollama#autocomplete-model), an extension for VSCode. This is my config
+```json
+"tabAutocompleteModel": {
+    "title": "Qwen2.5-Coder 1.5B",
+    "model": "qwen2.5-coder:1.5b-base",
+    "provider": "ollama"
+  },
+```
+but feel free to try another model you like. This was good enough to me, and extremely fast. 
+
+By the way, if getting issues with the extension, try `ollama ls` and make sure the name in `model` matches on the models you have downloaded. This was an issue for me because in one laptop I had `qwen2.5-coder:1.5b-base` and in the other one **the same model** was called `qwen2.5-coder:1.5b` 🤷‍♂️
+
+
+### Shortcuts
+
+I love automating things. That's probably the main reason why I'm working on AI. And shortcuts are definitely one of my favorite things. These are the shortcuts I strongly recommend you to configure in VSCode, together with my current key stroke:
+
+#### General
+
+- `Cmd + D`: Duplicate line
+- `Cmd + Shift + D`: Remove current line
+- `` Ctrl + ` ``: Move focus from editor/terminal to terminal/editor
+- `Ctrl + Shift + F`: Find in all files
+- `Cmd + Shift + F`: Find file by name
+- `Cmd + Y`: Reveal definition of current symbol/function
+- `Shift, then Shift`: Toggle Sidebar visibility
+- `Cmd + Shift + U`: Transform to upper case
+- `Cmd + Shift + Ctrl + U`: Transform to upper case
+- `Cmd + Alt + Z`: Navigate Back
+- `Alt + Shift + F`: Format document (and I use [globality-black](https://github.com/marctorsoc/globality-black) for this)
+- `Alt + Down`: Creates another cursor for the line below. This is nice when you want to edit multiple lines at the same time. To exit this mode, remember to press `Esc`.
+
+To be honest, I don't remember which of these come already configured in VSCode, but these are the top ones that came to mind. If you have any other suggestions, or there's one that you cannot find how to configure in VSCode, please let me know.
+
+#### Notebooks
+
+Here the only shortcut that I configured myself was `Cmd + Shift + 0, then 0`, to restart the notebook kernel. This is very useful to me. But everything else I left as is. You can check the official shortcuts e.g. [here](https://code.visualstudio.com/docs/datascience/jupyter-notebooks).
+
+
+### VSCode struggles with long outputs
+
+Sometimes, you'll notice that when displaying a long output in a notebook in VSCode, it will slow down, or simply force you restart the kernel. This happened to me recently. In my project, I had a structure like this:
+```python
+@dataclass
+class Page:
+    url: str
+    text: str
+
+    parent: Optional["Page"] = None
+    children: list["Page"] = field(default_factory=list)
+```
+that represent a page in my website. Note that is a recursive data structure, since every page has pointers to their parent and children. When showing a single in a notebook, VSCode will try to show its parent and children, which in turn have parents and children themselves, etc. One solution I found was to modify the default `__repr__` and `__repr_html__` methods of the class:
+```python
+def _repr_html_(self) -> str:
+    """
+    Used when showing the Page directly on the notebook
+    """
+
+    # Trim the text to a reasonable length
+    trimmed_text = (
+        (self.text[:200] + "...")
+        if len(self.text) > 200
+        else self.text
+    )
+
+    # Get the parent URL (if exists)
+    parent_url = self.parent.url if self.parent else "None"
+
+    # Get the URLs of the children (max 5, with "..." if more)
+    children_urls = [child.url for child in self.children]
+    if len(children_urls) > 5:
+        children_urls = children_urls[:5] + ["..."]
+    children_html = (
+        "<ul>" + "".join(f"<li>{url}</li>" for url in children_urls) + "</ul>"
+    )
+    extras_html = json.dumps(self.extras, indent=4)
+
+    # Create an HTML representation
+    html = f"""
+    <div style="border: 1px solid #ccc; padding: 10px; margin: 10px;">
+        <strong>URL:</strong> {self.url}<br>
+        <strong>Text:</strong> {trimmed_text}<br>
+        <strong>Parent URL:</strong> {parent_url}<br>
+        <strong>Children: {children_html if children_urls else "None"}</strong>
+    </div>
+    """
+    return html
+```
+and 
+```python
+def __repr__(self) -> str:
+    """
+    Used when showing the Page within e.g. a list on the notebook
+    (list calls _repr_html_, but for each element calls __repr__)
+    """
+    
+    # Trim the text to a reasonable length
+    trimmed_text = (
+        (self.text[:100].replace("\n", " ") + "...")
+        if len(self.text) > 100
+        else self.text
+    )
+
+    # Get the parent URL (if exists)
+    parent_url = self.parent.url if self.parent else "None"
+
+    # Get the URLs of the children (max 5, with "..." if more)
+    children_urls = [child.url for child in self.children]
+    if len(children_urls) > 5:
+        children_urls = children_urls[:5] + ["..."]
+    if children_urls:
+        children_str = "\n- " + "\n- ".join(children_urls)
+    else:
+        children_str = "None"
+
+    # Create the representation
+    output = f"""
+    * URL: {self.url}
+    * Text: {trimmed_text}
+    * Parent URL: {parent_url}
+    * Children: {children_str}
+    """
+    return output
+```
+
+This shows representations like this:
+<div style="text-align: center">
+  <img src="/content/page-repr.jpg" alt="" width="80%"/>
+</div>
+
+### New from 2025
+
+#### Inline values
+
+[This](https://code.visualstudio.com/updates/v1_97#_inline-values-upon-cell-execution) is something I found recently. Are you still writing cells like this?
+```python
+result = long_function(params)
+result
+```
+so you can visualize the result? Now, by turning on
+```json
+"notebook.inlineValues": true,
+```
+in your VSCode, you can see the values directly.
+<div style="text-align: center">
+  <img src="/content/notebook-inline-value.jpg" alt="" width="80%"/>
+  </div>
+
+
+#### Verbose time execution
+
+You might have noticed that after the cell is executed, we can see within the cell status bar some execution time information. This is a setting I missed and [requested](https://github.com/microsoft/vscode-jupyter/issues/13338#issuecomment-1645393350) from the very beginning of adopting VSCode, and was partially released [here](https://github.com/microsoft/vscode/issues/168792#issuecomment-2512350627). The docs for this are [here](https://code.visualstudio.com/updates/v1_96#_cell-execution-time-verbosity). TLDR:
+```json
+"notebook.cellExecutionTimeVerbosity": "verbose",
+```
+
+But, I'm still missing one of the benefits I was getting in Jupyter with [this extension](https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/nbextensions/execute_time/readme.html). There, this information would be stored within the notebook metadata, which had two advantages:
+1. Whe one restarts VScode, it's really useful to understand how long a particular cell took to run. But now all such information is lost.
+2. When transforming the notebook into a HTML report (e.g. with [nbconvert](https://nbconvert.readthedocs.io/en/latest/)), I'd like to have this info there too. I used to have a template that would leverage this, and dump it to the HTML too.
+
+For this reason, I opened this [issue](https://github.com/microsoft/vscode/issues/240405). If you read this, please support me in asking for this feature 😊
+
+#### Run cells in section
+
+If you are like me, and organize your notebook with markdown headers, this allows you to easily navigate via the `Outline` section on the sidebar. But now, there's another big plus! As explained [here](https://code.visualstudio.com/updates/v1_96#_run-cells-in-section-for-markdown), now we can run entire "section" of cells defined by a markdown header. It is as easy as simple as right-click and select:
+<div style="text-align: center">
+  <img src="/content/notebook-run-cells-section.jpg" alt="" width="80%"/>
+</div>
+
+
+## Tools related to notebooks
+
+### jupytext
+
+*Have you always wished Jupyter notebooks were plain text documents? Wished you could edit them in your favorite IDE? And get clear and meaningful diffs when doing version control? Then, Jupytext may well be the tool you’re looking for!*
+
+This is the elevator speech of [jupytext](https://jupytext.readthedocs.io/en/latest/), and to be honest, it is quite convincing! However, things have changed a bit since it was first released. Now, VSCode [supports](https://code.visualstudio.com/docs/datascience/jupyter-notebooks#_custom-notebook-diffing) diffing Jupyter notebooks quite nicely. My understanding is that this is a relatively new feature, because I did not see if before. But I could not find its release notes.
+
+In any case, you probably don't want to add to version control your notebook files:
+1. Because they contain the outputs, and that might be heavy information
+2. Because the outputs might be heavy
+3. Because when looking at it online, it's just simpler to look at a plain text `.py` file.
+
+Whichever is your reason, these are the two basic commands to work with Jupytext:
+```bash
+jupytext --to py <notebook>.ipynb
+jupytext --to ipynb <notebook>.py
+```
+and I'll defer you to the [docs](https://jupytext.readthedocs.io/en/latest/) for more.
+
+#### Missing features in VScode
+
+This yet another feature that I'm missing from the transition from Jupyter to VSCode. 
+In Jupyter, one has the ability to [pair](https://jupytext.readthedocs.io/en/latest/paired-notebooks.html) a notebook with its python file. It works as follows:
+
+* When a paired notebook is opened, the inputs are loaded from the most recent file in the pair, and the outputs are loaded from the `.ipynb` file.
+
+* When a paired notebook is saved, the corresponding python file is updated, as it would with a `jupytext --to py` run.
+
+To the best of my knowledge, this feature is not yet (2025) available in VSCode. So I still find myself running the CLI for the "basic behavior". There's this long standing [issue](https://github.com/microsoft/vscode-jupyter/issues/1240) if you want to track this.
+
+### logger
+
+Due to the **inability of persisting execution times** in VSCode notebooks, I use a simple Python logger when displaying messages in my notebooks. This is not perfect but it's better than nothing. It also provides a way to time the steps of a cell execution. The config is as simple as this:
+```python
+logging.basicConfig(format="%(asctime)s - %(message)s")
+log = logging.getLogger("lang-examples")
+log.setLevel(logging.INFO)
+log.info("Starting ...")
+```
+showing e.g:
+```
+2024-11-18 18:33:21,544 - Starting ...
+```
+
+Note that if you run this in the notebook, then you can **retrieve the same logger** within your Python files with 
+```python
+log = logging.getLogger("lang-examples")
+```
+and don't need to configure the logger again. Another great, but sometimes unknown feature of loggers is that you can set their level (as done above). So a common practice when debugging would be to wrap the line in your notebook like this:
+```python
+log.setLevel(logging.DEBUG)
+run_long_function_to_debug()
+log.setLevel(logging.INFO)
+```
+
+### autoreload
+
+If you are working on a Jupyter Notebook, then it is very convenient to use the `autoreload` extension. It will automatically reload all modules that have been imported in your notebook when they change (e.g. if you edit them). This can be done by running:
+```python
+%load_ext autoreload
+%autoreload 2
+```
+But there's a small trick some people don't know. If you have constants defined in a Python file, **they won't be reloaded**. This happened to me when working with LLMs, where you might define prompt templates as constants and import when creating a chain. In order to reload the prompt without restarting the kernel, my hack was to wrap the constant in a function that returns it:
+```python
+def get_prompt_template():
+    return """
+    You are a helpful assistant...
+    """
+```
+
+## Working with Dataframes in notebooks
+
diff --git a/src/pages/Blog.tsx b/src/pages/Blog.tsx
index c33a378..4d2605f 100644
--- a/src/pages/Blog.tsx
+++ b/src/pages/Blog.tsx
@@ -61,8 +61,12 @@ export default function Blog() {
   }, []);
 
   const filteredPosts = React.useMemo(() => {
-    if (selectedCategories.length === 0) return posts;
-    return posts.filter(post => 
+    // First filter out archived posts
+    const activePosts = posts.filter(post => !post.isArchived);
+    
+    // Then apply category filter if any
+    if (selectedCategories.length === 0) return activePosts;
+    return activePosts.filter(post => 
       post.categories.some(category => selectedCategories.includes(category))
     );
   }, [posts, selectedCategories]);
diff --git a/src/pages/Home.tsx b/src/pages/Home.tsx
index c0a321f..1b739b3 100644
--- a/src/pages/Home.tsx
+++ b/src/pages/Home.tsx
@@ -27,7 +27,7 @@ export default function Home() {
   }, []);
 
   const pinnedPosts = posts?.filter(post => post.isPinned) || [];
-  const recentPosts = posts?.slice(0, 6) || [];
+  const recentPosts = posts?.filter(post => !post.isArchived).slice(0, 6) || [];
 
   return (
     <div className="max-w-7xl mx-auto px-4 pb-8">
diff --git a/src/types/Post.ts b/src/types/Post.ts
index 6f6189e..1724e4f 100644
--- a/src/types/Post.ts
+++ b/src/types/Post.ts
@@ -12,6 +12,7 @@ export interface Post {
     title: string;
     categories: string[];
     isPinned?: boolean;
+    isArchived?: boolean;
     heroImage?: string;
     heroImageWidth?: string;
     toc?: TOCHeader[];
diff --git a/src/utils/PostLoader.ts b/src/utils/PostLoader.ts
index e82defe..dfed514 100644
--- a/src/utils/PostLoader.ts
+++ b/src/utils/PostLoader.ts
@@ -1,6 +1,8 @@
 import frontMatter from 'front-matter';
 import { Post } from '../types/Post';
 import { generateId } from './textUtils';
+import { TOC_MIN_DEPTH, TOC_MAX_DEPTH } from './constants';
+import { extractHeaders } from './tocUtils';
 
 const DEBUG = import.meta.env.DEV;
 
@@ -40,7 +42,7 @@ function validatePostAttributes(attributes: any): attributes is Post {
   return true;
 }
 
-async function importAll(): Promise<Post[]> {
+async function importAll(minDepth: number = TOC_MIN_DEPTH, maxDepth: number = TOC_MAX_DEPTH): Promise<Post[]> {
   if (DEBUG) console.log('🔄 Starting to load posts...');
   
   try {
@@ -75,33 +77,7 @@ async function importAll(): Promise<Post[]> {
           }
 
           const filename = filepath.split('/').pop() || '';
-          
-          const lines = body.split('\n');
-          const headers = [];
-          let inCodeBlock = false;
-          let headerIndex = 0;
-          const headerIds = new Map<string, number>();
-          
-          for (let line of lines) {
-            if (line.startsWith('```')) {
-              inCodeBlock = !inCodeBlock;
-              continue;
-            }
-            
-            if (!inCodeBlock && /^(### |## |# )/.test(line)) {
-              const level = line.startsWith('### ') ? 3 : line.startsWith('## ') ? 2 : 1;
-              const text = line.replace(/^### |^## |^# /, '');
-              
-              // Generate a unique ID for duplicate headers
-              const baseId = generateId(text);
-              const count = headerIds.get(baseId) || 0;
-              headerIds.set(baseId, count + 1);
-              const id = count === 0 ? baseId : `${baseId}-${count}`;
-              
-              if (DEBUG) console.log('Found header:', { level, text, id });
-              headers.push({ level, text, id });
-            }
-          }
+          const headers = extractHeaders(body, minDepth, maxDepth);
 
           return {
             ...attributes,
@@ -111,7 +87,7 @@ async function importAll(): Promise<Post[]> {
               .replace('/src/content/posts/', '')
               .replace('.md', ''),
             filename,
-            toc: headers  // Add this line to include the TOC
+            toc: headers
           };
         } catch (error) {
           console.error(`❌ Error processing ${filepath}:`, error);
@@ -135,4 +111,4 @@ async function importAll(): Promise<Post[]> {
   }
 }
 
-export const getPosts = importAll;
\ No newline at end of file
+export const getPosts = () => importAll();
\ No newline at end of file
diff --git a/src/utils/constants.ts b/src/utils/constants.ts
index 81408c4..ef74dcf 100644
--- a/src/utils/constants.ts
+++ b/src/utils/constants.ts
@@ -10,4 +10,7 @@ export const categoryColors: { [key: string]: string } = {
   'AI': 'bg-cyan-100 text-cyan-800 dark:bg-cyan-900 dark:text-cyan-300'
 };
 
-export const CATEGORIES = Object.keys(categoryColors).sort(); 
+export const CATEGORIES = Object.keys(categoryColors).sort();
+
+export const TOC_MIN_DEPTH = 1;
+export const TOC_MAX_DEPTH = 4;
diff --git a/src/utils/markdownUtils.ts b/src/utils/markdownUtils.ts
index 683b1fa..62ca4d6 100644
--- a/src/utils/markdownUtils.ts
+++ b/src/utils/markdownUtils.ts
@@ -1,8 +1,9 @@
 import frontMatter from 'front-matter';
 import { Post } from '../types/Post';
 import { getPosts } from './PostLoader';
-import ReactMarkdown from 'react-markdown';
 import { generateId } from './textUtils';
+import { TOC_MIN_DEPTH, TOC_MAX_DEPTH } from './constants';
+import { extractHeaders } from './tocUtils';
 
 export async function getAllPosts(): Promise<Post[]> {
   return getPosts();
@@ -18,7 +19,7 @@ interface PostAttributes {
   heroImageWidth?: string;
 }
 
-export async function getPost(slug: string): Promise<Post> {
+export async function getPost(slug: string, minDepth: number = TOC_MIN_DEPTH, maxDepth: number = TOC_MAX_DEPTH): Promise<Post> {
   const DEBUG = false;
   try {
     if (DEBUG) console.log('🔍 Looking for post with slug:', slug);
@@ -60,34 +61,7 @@ export async function getPost(slug: string): Promise<Post> {
       throw new Error('Invalid post format');
     }
 
-    // Extract headers for TOC with enhanced debug logging
-    console.log('Content body length:', body.length);
-    console.log('First 500 chars of content:', body.substring(0, 500));
-    
-    const headerMatches = body.match(/^(### |## |# )(.*)$/gm);
-    console.log('Raw header matches:', headerMatches);
-
-    // Create a map to track header occurrences
-    const headerOccurrences = new Map<string, number>();
-
-    const headers = headerMatches?.map(header => {
-      const level = header.startsWith('### ') ? 3 : header.startsWith('## ') ? 2 : 1;
-      const text = header.replace(/^### |^## |^# /, '');
-      
-      // Generate base ID from the cleaned text
-      const baseId = generateId(text);
-      
-      // Track occurrences of this header
-      const count = headerOccurrences.get(baseId) || 0;
-      headerOccurrences.set(baseId, count + 1);
-      
-      // Add suffix if this is a duplicate
-      const id = count > 0 ? `${baseId}-${count}` : baseId;
-      
-      return { level, text, id };
-    }) || [];
-
-    console.log('Final TOC headers:', headers);
+    const headers = extractHeaders(body, minDepth, maxDepth);
 
     // Now TypeScript knows the shape of attributes
     const post: Post = {
diff --git a/src/utils/tocUtils.ts b/src/utils/tocUtils.ts
new file mode 100644
index 0000000..2b65c3e
--- /dev/null
+++ b/src/utils/tocUtils.ts
@@ -0,0 +1,46 @@
+import { generateId } from './textUtils';
+import { TOC_MIN_DEPTH, TOC_MAX_DEPTH } from './constants';
+
+export interface Header {
+  level: number;
+  text: string;
+  id: string;
+}
+
+export function extractHeaders(
+  content: string,
+  minDepth: number = TOC_MIN_DEPTH,
+  maxDepth: number = TOC_MAX_DEPTH
+): Header[] {
+  const lines = content.split('\n');
+  const headers: Header[] = [];
+  let inCodeBlock = false;
+  const headerIds = new Map<string, number>();
+
+  const depthRange = Array.from(
+    { length: maxDepth - minDepth + 1 },
+    (_, i) => '#'.repeat(i + minDepth)
+  ).join('|');
+  const headerRegex = new RegExp(`^(${depthRange})\\s+(.*)$`);
+
+  for (let line of lines) {
+    if (line.startsWith('```')) {
+      inCodeBlock = !inCodeBlock;
+      continue;
+    }
+
+    if (!inCodeBlock && headerRegex.test(line)) {
+      const level = line.match(/^#+/)?.[0].length || 0;
+      const text = line.replace(/^#+\s+/, '');
+      
+      const baseId = generateId(text);
+      const count = headerIds.get(baseId) || 0;
+      headerIds.set(baseId, count + 1);
+      const id = count === 0 ? baseId : `${baseId}-${count}`;
+      
+      headers.push({ level, text, id });
+    }
+  }
+
+  return headers;
+}

From 6d824958eaa43c584f11d6612d7efca0186f19ce Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Thu, 13 Feb 2025 10:34:18 +0100
Subject: [PATCH 15/18] fix h4 links

---
 src/components/MarkdownComponents.tsx | 52 +++++++++++----------------
 src/components/PostCard.tsx           |  3 +-
 2 files changed, 22 insertions(+), 33 deletions(-)

diff --git a/src/components/MarkdownComponents.tsx b/src/components/MarkdownComponents.tsx
index a154158..5853d32 100644
--- a/src/components/MarkdownComponents.tsx
+++ b/src/components/MarkdownComponents.tsx
@@ -28,22 +28,6 @@ function processMathInText(text: string) {
   });
 }
 
-function getTextFromChildren(children: React.ReactNode): string {
-  return React.Children.map(children, child => {
-    if (typeof child === 'string') {
-      return child;
-    }
-    if (React.isValidElement(child)) {
-      // If it's a code block, get its children as text
-      if (child.type === 'code') {
-        return child.props.children;
-      }
-      // Recursively get text from nested children
-      return getTextFromChildren(child.props.children);
-    }
-    return '';
-  }).join('');
-}
 
 const MarkdownComponents: Components = {
   code({ node, inline, className, children, ...props }: any) {
@@ -165,23 +149,29 @@ const MarkdownComponents: Components = {
     );
   },
 
-  h1(props) {
-    const { children, ...rest } = props;
-    const text = getTextFromChildren(children);
-    const baseId = generateId(text);
-    return <h1 id={baseId} {...rest}>{children}</h1>;
+  h1: ({children}) => {
+    const id = generateId(children as string);
+    return <h1 id={id}>{children}</h1>;
   },
-  h2(props) {
-    const { children, ...rest } = props;
-    const text = getTextFromChildren(children);
-    const baseId = generateId(text);
-    return <h2 id={baseId} {...rest}>{children}</h2>;
+  h2: ({children}) => {
+    const id = generateId(children as string);
+    return <h2 id={id}>{children}</h2>;
   },
-  h3(props) {
-    const { children, ...rest } = props;
-    const text = getTextFromChildren(children);
-    const baseId = generateId(text);
-    return <h3 id={baseId} {...rest}>{children}</h3>;
+  h3: ({children}) => {
+    const id = generateId(children as string);
+    return <h3 id={id}>{children}</h3>;
+  },
+  h4: ({children}) => {
+    const id = generateId(children as string);
+    return <h4 id={id}>{children}</h4>;
+  },
+  h5: ({children}) => {
+    const id = generateId(children as string);
+    return <h5 id={id}>{children}</h5>;
+  },
+  h6: ({children}) => {
+    const id = generateId(children as string);
+    return <h6 id={id}>{children}</h6>;
   },
 };
 
diff --git a/src/components/PostCard.tsx b/src/components/PostCard.tsx
index 33f06eb..4b7e3e1 100644
--- a/src/components/PostCard.tsx
+++ b/src/components/PostCard.tsx
@@ -123,9 +123,8 @@ export function PostCard({ post, showFullContent = false, compact = false }: Pos
             <h3 className="text-xl font-semibold mb-4">Table of Contents</h3>
             <ul className="space-y-2 list-none p-0">
               {post.toc.map(header => {
-                // Adjust level to make level 2 the base (no indentation)
                 const minLevel = Math.min(...post.toc.map(h => h.level));
-                const adjustedLevel = Math.max(0, header.level - minLevel);
+                const adjustedLevel = header.level - minLevel;
                 
                 return (
                   <li

From 2b8be1ecd0e6a880aa448e1dc1ba57e16843ee4c Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Thu, 13 Feb 2025 10:58:48 +0100
Subject: [PATCH 16/18] ToC with numbers and foldable

---
 package-lock.json                  |  10 ++
 package.json                       |   1 +
 src/components/PostCard.tsx        |  51 +--------
 src/components/TableOfContents.tsx | 166 +++++++++++++++++++++++++++++
 4 files changed, 182 insertions(+), 46 deletions(-)

diff --git a/package-lock.json b/package-lock.json
index ac5a8f5..66afa3e 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -8,6 +8,7 @@
       "name": "my-website",
       "version": "0.1.0",
       "dependencies": {
+        "@heroicons/react": "^2.2.0",
         "front-matter": "^4.0.2",
         "gray-matter": "^4.0.3",
         "katex": "^0.16.19",
@@ -782,6 +783,15 @@
         "node": ">=18"
       }
     },
+    "node_modules/@heroicons/react": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/@heroicons/react/-/react-2.2.0.tgz",
+      "integrity": "sha512-LMcepvRaS9LYHJGsF0zzmgKCUim/X3N/DQKc4jepAXJ7l8QxJ1PmxJzqplF2Z3FE4PqBAIGyJAQ/w4B5dsqbtQ==",
+      "license": "MIT",
+      "peerDependencies": {
+        "react": ">= 16 || ^19.0.0-rc"
+      }
+    },
     "node_modules/@isaacs/cliui": {
       "version": "8.0.2",
       "resolved": "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz",
diff --git a/package.json b/package.json
index 373cf20..bb00122 100644
--- a/package.json
+++ b/package.json
@@ -5,6 +5,7 @@
   "homepage": "https://marctorsoc.github.io",
   "private": true,
   "dependencies": {
+    "@heroicons/react": "^2.2.0",
     "front-matter": "^4.0.2",
     "gray-matter": "^4.0.3",
     "katex": "^0.16.19",
diff --git a/src/components/PostCard.tsx b/src/components/PostCard.tsx
index 4b7e3e1..b6c551d 100644
--- a/src/components/PostCard.tsx
+++ b/src/components/PostCard.tsx
@@ -6,6 +6,7 @@ import rehypeRaw from 'rehype-raw';
 import MarkdownComponents from './MarkdownComponents';
 import { categoryColors } from '../utils/constants';
 import { HeaderIndexProvider, useHeaderIndex } from '../context/HeaderIndexContext';
+import { TableOfContents } from './TableOfContents';
 
 function preprocessContent(content: string): string {
   // First, normalize line breaks in align environments
@@ -119,52 +120,10 @@ export function PostCard({ post, showFullContent = false, compact = false }: Pos
       </div>
       {showFullContent && post.toc && post.toc.length > 0 && (
         <>
-          <nav className="toc mb-4">
-            <h3 className="text-xl font-semibold mb-4">Table of Contents</h3>
-            <ul className="space-y-2 list-none p-0">
-              {post.toc.map(header => {
-                const minLevel = Math.min(...post.toc.map(h => h.level));
-                const adjustedLevel = header.level - minLevel;
-                
-                return (
-                  <li
-                    key={header.id}
-                    style={{ marginLeft: `${adjustedLevel * 1.5}rem` }}
-                    className="hover:text-blue-600 dark:hover:text-blue-400"
-                  >
-                    <a 
-                      href={`#${header.id}`}
-                      onClick={(e) => {
-                        e.preventDefault();
-                        const element = document.getElementById(header.id);
-                        if (element) {
-                          element.scrollIntoView({ 
-                            behavior: 'smooth',
-                            block: 'start'
-                          });
-                          window.history.pushState(null, '', `#${header.id}`);
-                        }
-                      }}
-                      className="text-gray-900 dark:text-gray-100 hover:text-blue-600 dark:hover:text-blue-400 transition-colors no-underline"
-                    >
-                      <ReactMarkdown
-                        remarkPlugins={[remarkGfm]}
-                        components={{
-                          // Override default components to render plain text
-                          p: ({children}) => <>{children}</>,
-                          code: ({children}) => <>{children}</>,
-                          strong: ({children}) => <strong>{children}</strong>,
-                          em: ({children}) => <em>{children}</em>
-                        }}
-                      >
-                        {header.text}
-                      </ReactMarkdown>
-                    </a>
-                  </li>
-                );
-              })}
-            </ul>
-          </nav>
+          <TableOfContents 
+            headers={post.toc}
+            className="mb-8"
+          />
           <hr className="my-8 border-t border-gray-200 dark:border-gray-800" />
         </>
       )}
diff --git a/src/components/TableOfContents.tsx b/src/components/TableOfContents.tsx
index e69de29..0a547b4 100644
--- a/src/components/TableOfContents.tsx
+++ b/src/components/TableOfContents.tsx
@@ -0,0 +1,166 @@
+import React, { useState } from 'react';
+import { Header } from '../utils/tocUtils';
+import ReactMarkdown from 'react-markdown';
+import remarkGfm from 'remark-gfm';
+import { ChevronDownIcon, ChevronRightIcon } from '@heroicons/react/24/outline';
+
+interface TableOfContentsProps {
+  headers: Header[];
+  className?: string;
+  indentSize?: number; // New prop for configurable indentation
+}
+
+interface NumberedHeader extends Header {
+  number: string;
+  children: NumberedHeader[]; // Remove optional marker, always initialize as array
+}
+
+function generateNumberedHeaders(headers: Header[]): NumberedHeader[] {
+  const minLevel = Math.min(...headers.map(h => h.level));
+  const result: NumberedHeader[] = [];
+  const stack: NumberedHeader[] = [];
+  const counters: { [key: number]: number } = {};
+
+  headers.forEach(header => {
+    const relativeLevel = header.level - minLevel;
+    
+    // Initialize or increment counter for this level
+    counters[relativeLevel] = (counters[relativeLevel] || 0) + 1;
+    
+    // Reset counters for deeper levels
+    Object.keys(counters).forEach(level => {
+      if (Number(level) > relativeLevel) {
+        delete counters[level];
+      }
+    });
+
+    // Generate number based on all parent levels
+    const number = Array.from({ length: relativeLevel + 1 }, (_, i) => 
+      counters[i] || 1
+    ).join('.');
+
+    const numbered: NumberedHeader = {
+      ...header,
+      number,
+      children: [] // Always initialize as empty array
+    };
+
+    // Pop stack until we find the parent or reach the root
+    while (stack.length > 0 && stack[stack.length - 1].level >= header.level) {
+      stack.pop();
+    }
+
+    if (stack.length > 0 && stack[stack.length - 1].level < header.level) {
+      // Add as child to the last item in stack
+      stack[stack.length - 1].children.push(numbered);
+    } else {
+      // Add to root level
+      result.push(numbered);
+    }
+
+    stack.push(numbered);
+  });
+
+  return result;
+}
+
+const TOCItem: React.FC<{ 
+  header: NumberedHeader;
+  minLevel: number;
+  indentSize?: number;
+}> = ({ header, minLevel, indentSize = 0 }) => {
+  const [isExpanded, setIsExpanded] = useState(true);
+  const hasChildren = header.children.length > 0; // Remove optional chaining
+  const isTopLevel = header.level === minLevel;
+
+  return (
+    <li className="toc-item">
+      <div className="flex items-center">
+        {isTopLevel ? (
+          <button
+            onClick={() => setIsExpanded(!isExpanded)}
+            className="shrink-0 w-4 h-4 -ml-4 text-gray-500 hover:text-gray-700 dark:text-gray-400 dark:hover:text-gray-200 flex items-center justify-center"
+          >
+            {isExpanded ? (
+              <ChevronDownIcon className="w-3 h-3" />
+            ) : (
+              <ChevronRightIcon className="w-3 h-3" />
+            )}
+          </button>
+        ) : (
+          <span className="shrink-0 w-4" />
+        )}
+        <a
+          href={`#${header.id}`}
+          onClick={(e) => {
+            e.preventDefault();
+            const element = document.getElementById(header.id);
+            if (element) {
+              element.scrollIntoView({ behavior: 'smooth', block: 'start' });
+              window.history.pushState(null, '', `#${header.id}`);
+            }
+          }}
+          className="text-blue-600 dark:text-blue-400 min-w-0"
+        >
+          <span className="text-gray-500 dark:text-gray-400 mr-2">{header.number}</span>
+          <ReactMarkdown
+            remarkPlugins={[remarkGfm]}
+            components={{
+              p: ({children}) => <>{children}</>,
+              code: ({children}) => (
+                <code className="px-1 py-0.5 bg-gray-200 dark:bg-gray-700 rounded">{children}</code>
+              ),
+              strong: ({children}) => <strong>{children}</strong>,
+              em: ({children}) => <em>{children}</em>
+            }}
+          >
+            {header.text}
+          </ReactMarkdown>
+        </a>
+      </div>
+      {hasChildren && isExpanded && (
+        <ul className="list-none mt-1 space-y-1" style={{ paddingLeft: `${indentSize}rem` }}>
+          {header.children.map(child => (
+            <TOCItem 
+              key={child.id} 
+              header={child} 
+              minLevel={minLevel}
+              indentSize={indentSize} 
+            />
+          ))}
+        </ul>
+      )}
+    </li>
+  );
+};
+
+export const TableOfContents: React.FC<TableOfContentsProps> = ({ 
+  headers, 
+  className = '',
+  indentSize = 0.5 // Adjusted default indent size
+}) => {
+  if (!headers || headers.length === 0) return null;
+
+  const numberedHeaders = generateNumberedHeaders(headers);
+  const minLevel = Math.min(...headers.map(h => h.level));
+
+  return (
+    <nav className={`toc-container ${className}`}>
+      <h2 className="text-xl font-bold mb-4 text-gray-900 dark:text-gray-100">
+        Table of Contents
+      </h2>
+      <ul className="space-y-2 list-none pl-4">
+        {numberedHeaders.map((header) => (
+          <TOCItem 
+            key={header.id} 
+            header={header} 
+            minLevel={minLevel}
+            indentSize={indentSize}
+          />
+        ))}
+      </ul>
+    </nav>
+  );
+};
+
+export default TableOfContents;

From b1261cb545a223614841938d96fbc3852280f29c Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Thu, 13 Feb 2025 18:54:14 +0100
Subject: [PATCH 17/18] working with notebooks finished

---
 public/content/display-foldable.jpg           | Bin 0 -> 60242 bytes
 public/content/pipes-example.jpg              | Bin 0 -> 21555 bytes
 .../render-df-with-multi-line-texts.jpg       | Bin 0 -> 70693 bytes
 public/content/render-nested-false.jpg        | Bin 0 -> 38885 bytes
 public/content/render-nested-true.jpg         | Bin 0 -> 39604 bytes
 .../content/render-nested-vs-not-nested.jpg   | Bin 0 -> 111346 bytes
 public/content/side_by_side_example.jpg       | Bin 0 -> 118955 bytes
 .../2025-02-13-working-with-notebooks.md      | 165 +++++++++++++++++-
 8 files changed, 164 insertions(+), 1 deletion(-)
 create mode 100644 public/content/display-foldable.jpg
 create mode 100644 public/content/pipes-example.jpg
 create mode 100644 public/content/render-df-with-multi-line-texts.jpg
 create mode 100644 public/content/render-nested-false.jpg
 create mode 100644 public/content/render-nested-true.jpg
 create mode 100644 public/content/render-nested-vs-not-nested.jpg
 create mode 100644 public/content/side_by_side_example.jpg

diff --git a/public/content/display-foldable.jpg b/public/content/display-foldable.jpg
new file mode 100644
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diff --git a/public/content/side_by_side_example.jpg b/public/content/side_by_side_example.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..58ff7bfad0bda35c04f80272133ef0c088fbd062
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diff --git a/src/content/posts/2025-02-13-working-with-notebooks.md b/src/content/posts/2025-02-13-working-with-notebooks.md
index d46789e..882ef20 100644
--- a/src/content/posts/2025-02-13-working-with-notebooks.md
+++ b/src/content/posts/2025-02-13-working-with-notebooks.md
@@ -276,5 +276,168 @@ def get_prompt_template():
     """
 ```
 
-## Working with Dataframes in notebooks
+## Working with DataFrames in notebooks
 
+
+### DataFrames side by side
+
+```python
+import pandas as pd
+from IPython.display import display_html
+
+def display_side_by_side(*dfs: pd.DataFrame) -> None:
+    """Displays multiple DataFrames side by side in a Jupyter Notebook with top alignment."""
+    html_str = "".join(df.to_html() for df in dfs)
+    styled_html = html_str.replace("<table", '<table style="display:inline; vertical-align: top;"')
+    display_html(styled_html, raw=True)
+
+def display_side_by_side_dflist(dfs: list[pd.DataFrame], max_columns: int = 3) -> None:
+    """Displays a list of DataFrames side by side, limiting to max_columns per row."""
+    for start_idx in range(0, len(dfs), max_columns):
+        display_side_by_side(*dfs[start_idx:start_idx + max_columns])
+```
+and here an example:
+<div style="text-align: center">
+  <img src="/content/side_by_side_example.jpg" alt="" width="80%"/>
+</div>
+
+### Full display
+
+We often want to see the a DataFrame with full column width. This method allows to do this, and show all rows as well if desired: 
+
+```python
+def full_display(df, max_rows=None, max_colwidth=None):
+    with pd.option_context(
+        "display.max_rows",
+        max_rows,
+        "display.max_colwidth",
+        max_colwidth,
+    ):
+        display(df)
+```
+
+### Display foldable
+
+In order to show multiple dataframes after a cell, we can show them side by side as explained above, or we can show them one by one, and allow the user to fold / unfold each of them. This can be achieved with the code [here](https://github.com/marctorsoc/lang-examples/blob/main/lang-examples-common/lang_examples_common/utils/display_utils.py#L35). See an example:
+
+<div style="text-align: center">
+  <img src="/content/display-foldable.jpg" alt="" width="80%"/>
+</div>
+
+
+### Display foldable for nested structures
+
+Imagine you have an object like this
+```python
+movies = [
+    {
+        "Title": "Inception",
+        "Year": 2010,
+        "Genres": ["Action", "Sci-Fi", "Thriller"],
+        "Ratings": {"IMDB": 8.8, "Rotten Tomatoes": "87%"},
+        "Cast": [
+            {"Actor": "Leonardo DiCaprio", "Role": "Dom Cobb"},
+            {"Actor": "Joseph Gordon-Levitt", "Role": "Arthur"},
+        ],
+    },
+    {
+        "Title": "The Matrix",
+        "Year": 1999,
+        "Genres": ["Action", "Sci-Fi"],
+        "Ratings": {"IMDB": 8.7, "Rotten Tomatoes": "83%"},
+        "Cast": [
+            {"Actor": "Keanu Reeves", "Role": "Neo"},
+            {"Actor": "Laurence Fishburne", "Role": "Morpheus"},
+        ],
+    },
+]
+```
+In the following image, you can see how it would look if we just display:
+<div style="text-align: center">
+  <img src="/content/render-nested-false.jpg" alt="" width="100%"/>
+</div>
+
+and now if we use the power of `render_nested=True`:
+<div style="text-align: center">
+  <img src="/content/render-nested-true.jpg" alt="" width="35%"/>
+</div>
+
+### Pipes
+
+We often want to do some filtering on our data, and log the length of the dataframe at each step. This is where we can make use of pipes. I have two pipes that I use often:
+```python
+def log_len(df, message=""):
+    print(f"{message}: {len(df)}")
+    return df
+
+
+def log_df(df):
+    display(df)
+    return df
+```
+and here is an example:
+
+```python
+df = pd.DataFrame(
+    [
+        {"Title": "Superbad", "Year": 2007, "Rating": 7.6, "genre": "Comedy"},
+        {"Title": "Step Brothers", "Year": 2008, "Rating": 6.9, "genre": "Comedy"},
+        {"Title": "The Big Lebowski", "Year": 1998, "Rating": 8.1, "genre": "Comedy"},
+        {"Title": "The Shining", "Year": 1980, "Rating": 8.4, "genre": "Horror"},
+        {"Title": "Get Out", "Year": 2017, "Rating": 7.8, "genre": "Horror"},
+        {"Title": "It", "Year": 2017, "Rating": 7.3, "genre": "Horror"},
+        {"Title": "Interstellar", "Year": 2014, "Rating": 8.7, "genre": "Sci-Fi"},
+        {"Title": "The Martian", "Year": 2015, "Rating": 7.5, "genre": "Sci-Fi"},
+        {"Title": "Inception", "Year": 2010, "Rating": 8.8, "genre": "Sci-Fi"},
+        {"Title": "Blade Runner", "Year": 1982, "Rating": 9.3, "genre": "Sci-Fi"},
+        {"Title": "Blade Runner 2049", "Year": 2017, "Rating": 8.0, "genre": "Sci-Fi"},
+    ]
+)
+filtered_movies = (
+    movies.pipe(log_len, "Initial dataset")
+    .query("genre in ['Comedy', 'Sci-Fi']")
+    .pipe(log_len, "After filtering by Comedy or Sci-Fi")
+    .query("year > 2000")
+    .pipe(log_len, "After filtering movies older than 2000")
+    .pipe(log_df)
+)
+```
+which shows:
+<div style="text-align: center">
+  <img src="/content/pipes-example.jpg" alt="" width="40%"/>
+</div>
+
+### Visualizing dfs with multi-line texts
+
+If you use `full_display` when a cell in a dataframe contains a text with multiple lines, you will see the newline characters as part of the text. Here is a solution to show the text nicely:
+
+```python
+data = {
+    'title': ['Inception', 'The Matrix', 'Interstellar'],
+    'year': [2010, 1999, 2014],
+    'rating': [8.8, 8.7, 8.6],
+    'synopsis': [
+        "A thief who steals corporate secrets\nby entering the subconscious of his targets\nfaces his greatest challenge yet.",
+        "A computer hacker learns from mysterious rebels\nabout the true nature of his reality\nand his role in the war against its controllers.",
+        "A team of explorers travel through a wormhole\nin space in an attempt to ensure humanity's survival."
+    ]
+}
+
+df = pd.DataFrame(data)
+
+# Full display of the dataframe
+full_display(df)
+
+# Display the DataFrame with HTML rendering
+display(
+    HTML(
+        df
+        .assign(synopsis=lambda df: df.synopsis.str.replace("\n", "<br>"))
+        .to_html(escape=False, justify="left")
+    )
+)
+```
+which produces:
+<div style="text-align: center">
+  <img src="/content/render-df-with-multi-line-texts.jpg" alt="" width="100%"/>
+</div>

From 2b738e1614e1700c94f833d5db37761158ddb99b Mon Sep 17 00:00:00 2001
From: "marc.torsoc" <marc.torsoc@gmail.com>
Date: Thu, 13 Feb 2025 19:13:08 +0100
Subject: [PATCH 18/18] deploying

---
 README.md                                   |  2 +-
 src/components/MarkdownComponents.tsx       | 44 +++++++++++++++++----
 src/components/PostCard.tsx                 |  1 -
 src/components/TableOfContents.tsx          | 14 +++----
 src/content/posts/2025-01-10-uv-and-warp.md | 10 ++---
 src/pages/Resources.tsx                     |  1 -
 src/utils/PostLoader.ts                     | 43 ++++++++++++++++++--
 src/utils/markdownUtils.ts                  |  1 -
 8 files changed, 90 insertions(+), 26 deletions(-)

diff --git a/README.md b/README.md
index bf1b9e7..a8f9c72 100644
--- a/README.md
+++ b/README.md
@@ -20,4 +20,4 @@ If everything looks fine:
 ```
 npm run deploy
 ```
-This will deploy the changes into the `gh-pages` branch, and the website will be updated in a few (2-3) minutes. We can check the status in the `Actions` tab in GitHub.
+This will deploy the changes into the `gh-pages` branch, and the website will be updated in a few (2-3) minutes. We can check the status in the [Actions](https://github.com/marctorsoc/marctorsoc.github.io/actions) tab in GitHub.
diff --git a/src/components/MarkdownComponents.tsx b/src/components/MarkdownComponents.tsx
index 5853d32..c9c8792 100644
--- a/src/components/MarkdownComponents.tsx
+++ b/src/components/MarkdownComponents.tsx
@@ -5,7 +5,16 @@ import { vscDarkPlus } from 'react-syntax-highlighter/dist/esm/styles/prism';
 import Math from './Math';
 import type { Components } from 'react-markdown';
 import { generateId } from '../utils/textUtils';
-import { useHeaderIndex } from '../context/HeaderIndexContext';
+
+interface ReactElementWithChildren {
+  props: {
+    children?: React.ReactNode;
+  };
+}
+
+function isReactElementWithChildren(obj: any): obj is ReactElementWithChildren {
+  return obj && typeof obj === 'object' && 'props' in obj && typeof obj.props === 'object';
+}
 
 function processMathInText(text: string) {
   const parts = text.split(/(\$\$[^\$]+\$\$|\\begin{[\s\S]*?\\end{[\s\S]*?}|\$[^\$]+\$)/g);
@@ -28,6 +37,21 @@ function processMathInText(text: string) {
   });
 }
 
+function getTextContent(children: React.ReactNode): string {
+  if (children === null || children === undefined) {
+    return '';
+  }
+  if (typeof children === 'string' || typeof children === 'number') {
+    return children.toString();
+  }
+  if (Array.isArray(children)) {
+    return children.map(getTextContent).join('');
+  }
+  if (isReactElementWithChildren(children)) {
+    return getTextContent(children.props.children || '');
+  }
+  return '';
+}
 
 const MarkdownComponents: Components = {
   code({ node, inline, className, children, ...props }: any) {
@@ -150,27 +174,33 @@ const MarkdownComponents: Components = {
   },
 
   h1: ({children}) => {
-    const id = generateId(children as string);
+    const text = getTextContent(children);
+    const id = generateId(text);
     return <h1 id={id}>{children}</h1>;
   },
   h2: ({children}) => {
-    const id = generateId(children as string);
+    const text = getTextContent(children);
+    const id = generateId(text);
     return <h2 id={id}>{children}</h2>;
   },
   h3: ({children}) => {
-    const id = generateId(children as string);
+    const text = getTextContent(children);
+    const id = generateId(text);
     return <h3 id={id}>{children}</h3>;
   },
   h4: ({children}) => {
-    const id = generateId(children as string);
+    const text = getTextContent(children);
+    const id = generateId(text);
     return <h4 id={id}>{children}</h4>;
   },
   h5: ({children}) => {
-    const id = generateId(children as string);
+    const text = getTextContent(children);
+    const id = generateId(text);
     return <h5 id={id}>{children}</h5>;
   },
   h6: ({children}) => {
-    const id = generateId(children as string);
+    const text = getTextContent(children);
+    const id = generateId(text);
     return <h6 id={id}>{children}</h6>;
   },
 };
diff --git a/src/components/PostCard.tsx b/src/components/PostCard.tsx
index b6c551d..484ac2e 100644
--- a/src/components/PostCard.tsx
+++ b/src/components/PostCard.tsx
@@ -5,7 +5,6 @@ import remarkGfm from 'remark-gfm';
 import rehypeRaw from 'rehype-raw';
 import MarkdownComponents from './MarkdownComponents';
 import { categoryColors } from '../utils/constants';
-import { HeaderIndexProvider, useHeaderIndex } from '../context/HeaderIndexContext';
 import { TableOfContents } from './TableOfContents';
 
 function preprocessContent(content: string): string {
diff --git a/src/components/TableOfContents.tsx b/src/components/TableOfContents.tsx
index 0a547b4..27fb50d 100644
--- a/src/components/TableOfContents.tsx
+++ b/src/components/TableOfContents.tsx
@@ -19,24 +19,24 @@ function generateNumberedHeaders(headers: Header[]): NumberedHeader[] {
   const minLevel = Math.min(...headers.map(h => h.level));
   const result: NumberedHeader[] = [];
   const stack: NumberedHeader[] = [];
-  const counters: { [key: number]: number } = {};
+  const counters = new Map<number, number>();
 
   headers.forEach(header => {
     const relativeLevel = header.level - minLevel;
     
     // Initialize or increment counter for this level
-    counters[relativeLevel] = (counters[relativeLevel] || 0) + 1;
+    counters.set(relativeLevel, (counters.get(relativeLevel) || 0) + 1);
     
     // Reset counters for deeper levels
-    Object.keys(counters).forEach(level => {
-      if (Number(level) > relativeLevel) {
-        delete counters[level];
+    for (const [level, _] of counters) {
+      if (level > relativeLevel) {
+        counters.delete(level);
       }
-    });
+    }
 
     // Generate number based on all parent levels
     const number = Array.from({ length: relativeLevel + 1 }, (_, i) => 
-      counters[i] || 1
+      counters.get(i) || 1
     ).join('.');
 
     const numbered: NumberedHeader = {
diff --git a/src/content/posts/2025-01-10-uv-and-warp.md b/src/content/posts/2025-01-10-uv-and-warp.md
index 3b367da..eeb7525 100644
--- a/src/content/posts/2025-01-10-uv-and-warp.md
+++ b/src/content/posts/2025-01-10-uv-and-warp.md
@@ -42,7 +42,7 @@ and for me, this means that I could remove `conda` and `pip-tools` from my workf
 ### Basic Commands
 There is great [documentation](https://docs.astral.sh/uv), and it's not really worth replicating it here. 
 
-#### 1. Project Initialization
+#### Project Initialization
    Create a new Python project with `uv init`, which generates a `pyproject.toml` file and basic project structure:
    ```bash
    uv init myproject  # Creates project files and a virtual environment 
@@ -60,7 +60,7 @@ There is great [documentation](https://docs.astral.sh/uv), and it's not really w
    ```
    After this, I recommend doing `uv run hello.py` so the environment is created in `.venv`. Note that every time you do `uv run`, if there are dependencies that are not installed in the virtual environment, they will be automatically installed. See all details in [the documentation](https://docs.astral.sh/uv/concepts/projects/init/#applications).
 
-#### 2. Dependency Management
+#### Dependency Management
    Add or remove packages with `uv add` and `uv remove`, which automatically update the `uv.lock` file for reproducible builds:
    ```bash
    uv add pandas  # Installs pandas and its dependencies 
@@ -72,17 +72,17 @@ There is great [documentation](https://docs.astral.sh/uv), and it's not really w
   To update a dependency, use also `uv add`.
 
 
-#### 3. Environment Synchronization
+#### Environment Synchronization
    Use `uv sync` to ensure the virtual environment matches the lockfile:
    ```bash
    uv sync  # Creates/updates .venv and resolves dependencies 
    ```
 
-#### 4. Updating the Python version
+#### Updating the Python version
 
 Simply go to the `.python-version` file and change the version number. Then, when you do `uv run`, it will automatically update the virtual environment and resolve dependencies.
 
-#### 5. A real example
+#### A real example
 
 This is a real example of `pyproject.toml` file for one of my personal projects:
 ```toml
diff --git a/src/pages/Resources.tsx b/src/pages/Resources.tsx
index 77eeda4..c82c569 100644
--- a/src/pages/Resources.tsx
+++ b/src/pages/Resources.tsx
@@ -1,4 +1,3 @@
-import React from 'react';
 import ReactMarkdown from 'react-markdown';
 import remarkGfm from 'remark-gfm';
 import rehypeRaw from 'rehype-raw';
diff --git a/src/utils/PostLoader.ts b/src/utils/PostLoader.ts
index dfed514..0f1195d 100644
--- a/src/utils/PostLoader.ts
+++ b/src/utils/PostLoader.ts
@@ -1,11 +1,11 @@
 import frontMatter from 'front-matter';
 import { Post } from '../types/Post';
-import { generateId } from './textUtils';
 import { TOC_MIN_DEPTH, TOC_MAX_DEPTH } from './constants';
 import { extractHeaders } from './tocUtils';
 
 const DEBUG = import.meta.env.DEV;
 
+
 function validatePostAttributes(attributes: any): attributes is Post {
   if (!attributes) {
     console.error('❌ Post attributes are undefined');
@@ -96,15 +96,52 @@ async function importAll(minDepth: number = TOC_MIN_DEPTH, maxDepth: number = TO
       })
     );
 
-    const validPosts = posts.filter((post): post is Post => post !== null);
+    const validPosts = posts
+      .filter((post): post is NonNullable<typeof post> => post !== null)
+      // Don't use type predicate here, just validate the date
+      .filter(post => {
+        try {
+          const timestamp = new Date(post.date).getTime();
+          if (isNaN(timestamp)) {
+            console.error(`❌ Invalid date format in post: ${post.title}`);
+            return false;
+          }
+          return true;
+        } catch {
+          console.error(`❌ Invalid date format in post: ${post.title}`);
+          return false;
+        }
+      })
+      // Type assertion in the map function
+      .map((post): Post => ({
+        ...post,
+        date: new Date(post.date).toISOString()
+      }));
     
     if (DEBUG) console.log(`✅ Successfully loaded ${validPosts.length} posts`);
     
     if (validPosts.length === 0) {
       console.warn('⚠️ No valid posts were loaded');
+      return [];
     }
 
-    return validPosts.sort((a, b) => new Date(b.date).getTime() - new Date(a.date).getTime());
+    // Sort posts with safe date comparison
+    return validPosts.sort((a, b) => {
+      try {
+        const dateA = new Date(a.date).getTime();
+        const dateB = new Date(b.date).getTime();
+        
+        if (isNaN(dateA) || isNaN(dateB)) {
+          console.warn('⚠️ Invalid date comparison:', { a: a.date, b: b.date });
+          return 0;
+        }
+        
+        return dateB - dateA;
+      } catch (error) {
+        console.error('❌ Error comparing dates:', error);
+        return 0;
+      }
+    });
   } catch (error) {
     console.error('❌ Fatal error loading posts:', error);
     return [];
diff --git a/src/utils/markdownUtils.ts b/src/utils/markdownUtils.ts
index 62ca4d6..3634c94 100644
--- a/src/utils/markdownUtils.ts
+++ b/src/utils/markdownUtils.ts
@@ -1,7 +1,6 @@
 import frontMatter from 'front-matter';
 import { Post } from '../types/Post';
 import { getPosts } from './PostLoader';
-import { generateId } from './textUtils';
 import { TOC_MIN_DEPTH, TOC_MAX_DEPTH } from './constants';
 import { extractHeaders } from './tocUtils';