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Merge branch 'main' into translation-sync-2026-04-10T19-33-03-pr-521
2 parents 69b1c59 + 1e8dde1 commit b5f500d

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‎.github/workflows/cache.yml‎

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name: Build Cache [using jupyter-book]
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on:
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schedule:
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# Execute cache weekly at 3am on Monday
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- cron: '0 3 * * 1'
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workflow_dispatch:
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jobs:
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cache:
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runs-on: ubuntu-latest
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steps:
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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: "3.13"
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environment-file: environment.yml
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activate-environment: quantecon
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- name: Install JAX (CPU)
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shell: bash -l {0}
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run: |
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pip install jax
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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: 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
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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
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include-hidden-files: true

‎.github/workflows/ci.yml‎

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name: Build Project [using jupyter-book]
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on: [pull_request]
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permissions:
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contents: read
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actions: read
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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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- 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: "3.13"
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environment-file: environment.yml
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activate-environment: quantecon
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- name: Install JAX (CPU)
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shell: bash -l {0}
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run: |
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pip install jax
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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)
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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 -n -W --keep-going
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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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# Final Build of HTML
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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

‎.github/workflows/publish.yml‎

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name: Build & Publish to GH Pages
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on:
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push:
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tags:
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- 'publish*'
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permissions:
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contents: read
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actions: read
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pages: write
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id-token: write
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concurrency:
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group: "pages"
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cancel-in-progress: false
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jobs:
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publish:
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if: github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags')
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runs-on: ubuntu-latest
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environment:
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name: github-pages
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url: ${{ steps.deployment.outputs.page_url }}
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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: "3.13"
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environment-file: environment.yml
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activate-environment: quantecon
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- name: Install JAX (CPU)
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shell: bash -l {0}
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run: |
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pip install jax
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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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# Download Build Cache from cache.yml
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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)
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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 -n -W --keep-going
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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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# Final Build of HTML (with assets)
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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: Setup Pages
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uses: actions/configure-pages@v4
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- name: Upload Pages artifact
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uses: actions/upload-pages-artifact@v3
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with:
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path: _build/html/
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- name: Deploy to GitHub Pages
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id: deployment
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uses: actions/deploy-pages@v4

‎.translate/state/autodiff.md.yml‎

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source-sha: 05ce95691fd97e48da39dd6d58fe032c03e8813d
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synced-at: "2026-04-09"
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model: claude-sonnet-4-6
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mode: NEW
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section-count: 5
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tool-version: 0.14.1

‎.translate/state/jax_intro.md.yml‎

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source-sha: c4c03c80c1eb4318f627d869707d242d19c8cf09
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synced-at: "2026-03-20"
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source-sha: 05ce95691fd97e48da39dd6d58fe032c03e8813d
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synced-at: "2026-04-09"
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model: claude-sonnet-4-6
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mode: NEW
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section-count: 6
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tool-version: 0.13.0
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mode: UPDATE
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section-count: 7
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tool-version: 0.14.1

‎.translate/state/numpy_vs_numba_vs_jax.md.yml‎

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source-sha: c4c03c80c1eb4318f627d869707d242d19c8cf09
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synced-at: "2026-03-20"
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source-sha: 05ce95691fd97e48da39dd6d58fe032c03e8813d
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synced-at: "2026-04-09"
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model: claude-sonnet-4-6
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mode: NEW
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section-count: 2
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tool-version: 0.13.0
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mode: UPDATE
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section-count: 3
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tool-version: 0.14.1

‎.translate/state/pandas.md.yml‎

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source-sha: 9490497982787a5b0eb54ee1dcd73ac326d5ae04
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source-sha: 02e57a5befc2a9a081019edc748aba15e4b2f02a
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synced-at: "2026-04-09"
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model: claude-sonnet-4-6
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mode: NEW
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mode: UPDATE
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section-count: 5
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tool-version: 0.13.1
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tool-version: 0.14.0

‎.translate/state/python_advanced_features.md.yml‎

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source-sha: f791129259d11c138d7662c88f994c9d5ebaa875
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synced-at: "2026-03-25"
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source-sha: 02e57a5befc2a9a081019edc748aba15e4b2f02a
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synced-at: "2026-04-09"
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model: claude-sonnet-4-6
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section-count: 7
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tool-version: 0.14.0

‎environment.yml‎

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name: quantecon
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channels:
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- defaults
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dependencies:
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- python=3.13
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- anaconda=2025.12
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- pip
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- pip:
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- jupyter-book>=1.0.4post1,<2.0
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- quantecon-book-theme==0.20.0
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- sphinx-tojupyter==0.6.0
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- sphinxext-rediraffe==0.3.0
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- sphinx-exercise==1.2.1
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- sphinx-togglebutton==0.4.5

‎lectures/_admonition/gpu.md‎

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```{admonition} GPU
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:class: warning
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本讲座使用了配备 GPU 的机器进行构建——但没有 GPU 也可以运行。
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[Google Colab](https://colab.research.google.com/) 提供了免费的 GPU 访问，
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您可以按照以下步骤使用：
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1. 点击右上角的"play"图标
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2. 选择 Colab
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3. 将运行时环境设置为包含 GPU
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```

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