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‎.github/dependabot.yml‎

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# To get started with Dependabot version updates, you'll need to specify which
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# package ecosystems to update and where the package manifests are located.
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# Please see the documentation for all configuration options:
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# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
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version: 2
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updates:
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- package-ecosystem: github-actions
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directory: /
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commit-message:
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prefix: ⬆️
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schedule:
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interval: weekly

‎.github/workflows/cache.yml‎

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name: Build Cache [using jupyter-book]
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on:
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push:
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branches:
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- main
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jobs:
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tests:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Setup Anaconda
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uses: conda-incubator/setup-miniconda@v3
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with:
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auto-update-conda: true
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auto-activate-base: true
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miniconda-version: 'latest'
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python-version: "3.11"
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environment-file: environment.yml
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activate-environment: quantecon
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- name: graphviz Support # TODO: required?
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run: |
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sudo apt-get -qq update && sudo apt-get install -y graphviz
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- name: Install latex dependencies
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run: |
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sudo apt-get -qq update
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sudo apt-get install -y \
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texlive-latex-recommended \
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texlive-latex-extra \
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texlive-fonts-recommended \
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texlive-fonts-extra \
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texlive-xetex \
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latexmk \
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xindy \
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dvipng \
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cm-super
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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 ./ -W --keep-going
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- name: Upload Execution Reports (HTML)
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uses: actions/upload-artifact@v4
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if: failure()
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with:
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name: execution-reports
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path: _build/html/reports
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- name: Upload "_build" folder (cache)
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uses: actions/upload-artifact@v4
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with:
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name: build-cache
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path: _build

‎.github/workflows/ci.yml‎

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name: Build HTML [using jupyter-book]
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on: [pull_request]
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jobs:
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preview:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Setup Anaconda
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uses: conda-incubator/setup-miniconda@v3
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with:
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auto-update-conda: true
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auto-activate-base: true
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miniconda-version: 'latest'
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python-version: "3.11"
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environment-file: environment.yml
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activate-environment: quantecon
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- name: Graphics Support #TODO: Review if graphviz is needed
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run: |
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sudo apt-get -qq update && sudo apt-get install -y graphviz
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- name: Install latex dependencies
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run: |
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sudo apt-get -qq update
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sudo apt-get install -y \
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texlive-latex-recommended \
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texlive-latex-extra \
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texlive-fonts-recommended \
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texlive-fonts-extra \
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texlive-xetex \
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latexmk \
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xindy \
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dvipng \
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cm-super
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- name: Display Conda Environment Versions
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shell: bash -l {0}
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run: conda list
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- name: Display Pip Versions
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shell: bash -l {0}
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run: pip list
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- name: Download "build" folder (cache)
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uses: dawidd6/action-download-artifact@v6
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with:
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workflow: cache.yml
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branch: main
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name: build-cache
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path: _build
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# Build Assets (Download Notebooks and PDF via LaTeX)
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- name: Build PDF from LaTeX
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shell: bash -l {0}
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run: |
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jb build lectures --builder pdflatex --path-output ./ -n --keep-going
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mkdir -p _build/html/_pdf
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cp -u _build/latex/*.pdf _build/html/_pdf
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- name: Upload Execution Reports (LaTeX)
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uses: actions/upload-artifact@v4
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if: failure()
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with:
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name: execution-reports
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path: _build/latex/reports
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- name: Build Download Notebooks (sphinx-tojupyter)
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shell: bash -l {0}
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run: |
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jb build lectures --path-output ./ --builder=custom --custom-builder=jupyter
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mkdir -p _build/html/_notebooks
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cp -u _build/jupyter/*.ipynb _build/html/_notebooks
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# Build HTML (Website)
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# BUG: rm .doctress to remove `sphinx` rendering issues for ipywidget mimetypes
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# and clear the sphinx cache for building final HTML documents.
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- name: Build HTML
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shell: bash -l {0}
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run: |
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rm -r _build/.doctrees
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jb build lectures --path-output ./ -nW --keep-going
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- name: Upload Execution Reports (HTML)
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uses: actions/upload-artifact@v4
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if: failure()
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with:
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name: execution-reports
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path: _build/html/reports
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- name: Preview Deploy to Netlify
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uses: nwtgck/[email protected]
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with:
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publish-dir: '_build/html/'
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production-branch: main
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github-token: ${{ secrets.GITHUB_TOKEN }}
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deploy-message: "Preview Deploy from GitHub Actions"
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env:
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NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }}
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NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }}

‎.github/workflows/collab.yml‎

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name: Build Project on Google Collab (Execution)
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on: [pull_request]
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jobs:
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test:
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runs-on: ubuntu-latest-m
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container:
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image: us-docker.pkg.dev/colab-images/public/runtime:latest
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steps:
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- uses: actions/checkout@v4
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with:
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ref: ${{ github.event.pull_request.head.sha }}
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- name: Check for dockerenv file
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run: (ls /.dockerenv && echo Found dockerenv) || (echo No dockerenv)
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- name: Check python version
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shell: bash -l {0}
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run: |
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python --version
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- name: Display Pip Versions
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shell: bash -l {0}
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run: pip list
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- name: Download "build" folder (cache)
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uses: dawidd6/action-download-artifact@v6
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with:
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workflow: cache.yml
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branch: main
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name: build-cache
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path: _build
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# Install build software
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- name: Install Build Software
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shell: bash -l {0}
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run: |
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pip install jupyter-book==0.15.1 docutils==0.17.1 quantecon-book-theme==0.7.2 sphinx-tojupyter==0.3.0 sphinxext-rediraffe==0.2.7 sphinx-exercise==0.4.1 sphinxcontrib-youtube==1.1.0 sphinx-togglebutton==0.3.1 arviz==0.13.0 sphinx_proof==0.2.0
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# Build of HTML (Execution Testing)
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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 ./ -n -W --keep-going
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- name: Upload Execution Reports
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uses: actions/upload-artifact@v4
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if: failure()
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with:
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name: execution-reports
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path: _build/html/reports
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- name: Preview Deploy to Netlify
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uses: nwtgck/[email protected]
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with:
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publish-dir: '_build/html/'
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production-branch: main
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github-token: ${{ secrets.GITHUB_TOKEN }}
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deploy-message: "Preview Deploy from GitHub Actions"
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env:
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NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }}
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NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }}

‎.github/workflows/linkcheck.yml‎

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name: Link Checker [Anaconda, Linux]
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on:
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pull_request:
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types: [opened, reopened]
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schedule:
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# UTC 12:00 is early morning in Australia
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- cron: '0 12 * * *'
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jobs:
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link-check-linux:
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name: Link Checking (${{ matrix.python-version }}, ${{ matrix.os }})
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runs-on: ${{ matrix.os }}
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strategy:
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fail-fast: false
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matrix:
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os: ["ubuntu-latest"]
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python-version: ["3.11"]
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Setup Anaconda
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uses: conda-incubator/setup-miniconda@v3
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with:
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auto-update-conda: true
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auto-activate-base: true
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miniconda-version: 'latest'
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python-version: "3.11"
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environment-file: environment.yml
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activate-environment: quantecon
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- name: Download "build" folder (cache)
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uses: dawidd6/action-download-artifact@v6
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with:
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workflow: cache.yml
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branch: main
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name: build-cache
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path: _build
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- name: Link Checker
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shell: bash -l {0}
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run: jb build lectures --path-output=./ --builder=custom --custom-builder=linkcheck
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- name: Upload Link Checker Reports
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uses: actions/upload-artifact@v4
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if: failure()
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with:
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name: linkcheck-reports
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path: _build/linkcheck

‎.gitignore‎

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.DS_Store
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lectures/_build
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.ipynb_checkpoints/
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.virtual_documents/
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_build/*

‎lectures/_config.yml‎

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title: A First Course in Quantitative Economics with Python
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author: Thomas J. Sargent & John Stachurski
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logo: _static/qe-logo.png
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description: This website presents introductory lectures on computational economics, designed and written by Thomas J. Sargent and John Stachurski.
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parse:
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myst_enable_extensions: # default extensions to enable in the myst parser. See https://myst-parser.readthedocs.io/en/latest/using/syntax-optional.html
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- amsmath
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- colon_fence
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- deflist
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- dollarmath
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- html_admonition
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- html_image
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- linkify
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- replacements
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- smartquotes
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- substitution
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- tasklist
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only_build_toc_files: true
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execute:
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execute_notebooks: "cache"
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timeout: 600 # 10 minutes
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exclude_patterns:
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- '_static/*'
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html:
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baseurl: https://intro.quantecon.org/
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bibtex_bibfiles:
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- _static/quant-econ.bib
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latex:
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latex_documents:
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targetname: quantecon-python-intro.tex
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sphinx:
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extra_extensions: [sphinx_multitoc_numbering, sphinxext.rediraffe, sphinx_exercise, sphinx_togglebutton, sphinx.ext.intersphinx, sphinx_proof, sphinx_tojupyter]
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config:
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# false-positive links
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linkcheck_ignore: ['https://doi.org/https://doi.org/10.2307/1235116', 'https://math.stackexchange.com/*', 'https://stackoverflow.com/*']
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# myst-nb config
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nb_render_image_options:
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width: 80%
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nb_code_prompt_show: "Show {type}"
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# -------------
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html_favicon: _static/lectures-favicon.ico
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html_theme: quantecon_book_theme
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html_static_path: ['_static']
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html_theme_options:
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authors:
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- name: Thomas J. Sargent
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url: http://www.tomsargent.com/
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- name: John Stachurski
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url: https://johnstachurski.net/
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dark_logo: quantecon-logo-transparent.png
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header_organisation_url: https://quantecon.org
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header_organisation: QuantEcon
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repository_url: https://github.com/QuantEcon/lecture-python-intro
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nb_repository_url: https://github.com/QuantEcon/lecture-python-intro.notebooks
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twitter: quantecon
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twitter_logo_url: https://assets.quantecon.org/img/qe-twitter-logo.png
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og_logo_url: https://assets.quantecon.org/img/qe-og-logo.png
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description: This website presents introductory lectures on computational economics, designed and written by Thomas J. Sargent and John Stachurski.
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keywords: Python, QuantEcon, Quantitative Economics, Economics, Sloan, Alfred P. Sloan Foundation, Tom J. Sargent, John Stachurski
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analytics:
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google_analytics_id: G-QDS1YRJNGM
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launch_buttons:
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notebook_interface : classic # The interface interactive links will activate ["classic", "jupyterlab"]
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binderhub_url : https://mybinder.org # The URL of the BinderHub (e.g., https://mybinder.org)
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colab_url : https://colab.research.google.com
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thebe : false # Add a thebe button to pages (requires the repository to run on Binder)
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intersphinx_mapping:
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pyprog:
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- https://python-programming.quantecon.org/
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- null
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intro:
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- https://intro.quantecon.org/
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- null
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dle:
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- https://quantecon.github.io/lecture-dle/
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- null
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dps:
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- https://quantecon.github.io/lecture-dps/
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- null
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eqm:
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- https://quantecon.github.io/lecture-eqm/
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- null
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stats:
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- https://quantecon.github.io/lecture-stats/
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- null
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tools:
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- https://quantecon.github.io/lecture-tools-techniques/
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- null
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dynam:
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- https://quantecon.github.io/lecture-dynamics/
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- null
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mathjax3_config:
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tex:
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macros:
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"argmax" : "arg\\,max"
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"argmin" : "arg\\,min"
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mathjax_path: https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
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rediraffe_redirects:
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index_toc.md: intro.md
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tojupyter_static_file_path: ["_static"]
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tojupyter_target_html: true
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tojupyter_urlpath: "https://intro.quantecon.org/" #TODO: update
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tojupyter_image_urlpath: "https://intro.quantecon.org/_static/" #TODO: update
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tojupyter_lang_synonyms: ["ipython", "ipython3", "python"]
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tojupyter_kernels:
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python3:
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kernelspec:
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display_name: "Python"
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language: python3
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name: python3
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file_extension: ".py"
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tojupyter_images_markdown: true

‎lectures/_static/lecture_specific/long_run_growth/tooze_ch1_graph.png‎

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‎lectures/_static/lecture_specific/troubleshooting/launch.png‎

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‎lectures/_static/lectures-favicon.ico‎

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