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uploading build as artifact
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.github/workflows/ci.yml

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@@ -56,7 +56,7 @@ jobs:
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- name: Build HTML
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shell: bash -l {0}
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run: |
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jb build lectures --path-output ./ --keep-going
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jb build lectures --path-output ./ -W --keep-going
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- name: Upload Execution Reports
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uses: actions/upload-artifact@v2
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if: failure()
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run: |
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mkdir -p _build/html/assets/data
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cp -a lectures/_data/. _build/html/assets/data/
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- name: Save Build as Artifact
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uses: actions/upload-artifact@v1
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with:
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name: _build
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path: _build
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- name: Preview Deploy to Netlify
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uses: nwtgck/[email protected]
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with:

lectures/_config.yml

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@@ -2,6 +2,7 @@ title: QuantEcon DataScience
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author: Chase Coleman, Spencer Lyon, and Jesse Perla
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logo: _static/datascience-logo.png
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description: This website presents a series of lectures on programming, data science, and economics.
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only_build_toc_files: true
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execute:
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execute_notebooks: "force"

lectures/_toc.yml

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format: jb-book
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root: index
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parts:
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- caption: Introduction
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chapters:
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- file: introduction/index
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- file: introduction/overview
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- file: introduction/getting_started
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- file: introduction/cloud_setup
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- file: introduction/local_install
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- file: introduction/troubleshooting
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- caption: Python Fundamentals
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chapters:
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- file: python_fundamentals/index
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- file: python_fundamentals/basics
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- file: python_fundamentals/collections
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- file: python_fundamentals/control_flow
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- file: python_fundamentals/functions
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- caption: Scientific Computing
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chapters:
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- file: scientific/index
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- file: scientific/numpy_arrays
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- file: scientific/plotting
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- file: scientific/applied_linalg
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- file: scientific/randomness
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- file: scientific/optimization
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- caption: Pandas
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chapters:
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- file: pandas/index
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- file: pandas/intro
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- file: pandas/basics
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- file: pandas/the_index
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- file: pandas/storage_formats
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- file: pandas/data_clean
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- file: pandas/reshape
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- file: pandas/merge
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- file: pandas/groupby
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- file: pandas/timeseries
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- file: pandas/matplotlib
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- caption: Applications
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chapters:
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- file: applications/index
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- file: applications/visualization_rules
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- file: applications/regression
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- file: applications/recidivism
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- file: applications/maps
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- file: applications/classification
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- file: applications/working_with_text
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- file: applications/ml_in_economics
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- file: applications/heterogeneity

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