From 870b38d72fb1c59034d9325d183344ebaabeea18 Mon Sep 17 00:00:00 2001
From: loreS23-dot <marclore135@gmail.com>
Date: Tue, 4 Nov 2025 17:45:21 +0100
Subject: [PATCH] strutures lab

---
 lab-python-data-structures.ipynb | 146 ++++++++++++++++++++++++++++++-
 1 file changed, 144 insertions(+), 2 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..53eda78d 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,153 @@
     "\n",
     "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\",\"keychain\"]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for product in products:\n",
+    "    quantity = int(input(f\"Introduce la cantidad de los productos {product}: \"))\n",
+    "    inventory[product] = quantity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customers_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Elige tres productos para pedir (t-shirt, mug, hat, book, keychain):\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Elige tres productos para pedir (t-shirt, mug, hat, book, keychain):\")\n",
+    "for x in range(3):\n",
+    "    order = input(f\"Producto {x+1}: \")\n",
+    "    customers_orders.add(order)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Productos pedidos: {'hat', 'mug', 'book'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Productos pedidos:\", customers_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total_products_ordered = len(customers_orders) \n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 60.0 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"\\nOrder Statistics:\")\n",
+    "print(\"Total Products Ordered:\", total_products_ordered)\n",
+    "print(\"Percentage of Products Ordered:\", percentage_ordered, \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for item in customers_orders:\n",
+    "    inventory[item] = inventory[item] - 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Inventario actualizado:\n",
+      "t-shirt : 20\n",
+      "mug : 19\n",
+      "hat : 19\n",
+      "book : 19\n",
+      "keychain : 20\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Inventario actualizado:\")\n",
+    "for product in inventory:\n",
+    "    print(product, \":\", inventory[product])"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +210,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.12.9"
   }
  },
  "nbformat": 4,