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  1. docs/en/docs/contributing.md

    ### Using your local FastAPI
    
    If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.
    
    And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.
    
    That way, you don't have to "install" your local version to be able to test every change.
    
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  2. .github/workflows/test-redistribute.yml

            with:
              python-version: "3.10"
          - name: Install build dependencies
            run: pip install build
          - name: Build source distribution
            env:
              TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
            run: python -m build --sdist
          - name: Decompress source distribution
            run: |
              cd dist
              tar xvf fastapi*.tar.gz
          - name: Install test dependencies
            run: |
    Others
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  3. docs/de/docs/deployment/cloud.md

    * <a href="https://docs.platform.sh/languages/python.html?utm_source=fastapi-signup&utm_medium=banner&utm_campaign=FastAPI-signup-June-2023" class="external-link" target="_blank">Platform.sh</a>
    * <a href="https://docs.porter.run/language-specific-guides/fastapi" class="external-link" target="_blank">Porter</a>
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  4. docs/en/docs/advanced/generate-clients.md

    For example, you might want to try <a href="https://speakeasyapi.dev/?utm_source=fastapi+repo&utm_medium=github+sponsorship" class="external-link" target="_blank">Speakeasy</a>.
    
    There are also several other companies offering similar services that you can search and find online. 🤓
    
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  5. pyproject.toml

        # Settings management
        "pydantic-settings >=2.0.0",
        # Extra Pydantic data types
        "pydantic-extra-types >=2.0.0",
    ]
    
    [tool.pdm]
    version = { source = "file", path = "fastapi/__init__.py" }
    distribution = true
    
    [tool.pdm.build]
    source-includes = [
        "tests/",
        "docs_src/",
        "requirements*.txt",
        "scripts/",
        # For a test
        "docs/en/docs/img/favicon.png",
        ]
    
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  6. docs/en/docs/fastapi-people.md

    Here are the **Top Contributors**. 👷
    
    These users have [created the most Pull Requests](help-fastapi.md#create-a-pull-request){.internal-link target=_blank} that have been *merged*.
    
    They have contributed source code, documentation, translations, etc. 📦
    
    {% if people %}
    <div class="user-list user-list-center">
    {% for user in people.top_contributors[:50] %}
    
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  7. docs/pl/docs/index.md

    ---
    
    "_**Netflix** is pleased to announce the open-source release of our **crisis management** orchestration framework: **Dispatch**! [built with **FastAPI**]_"
    
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  8. docs/it/docs/index.md

    ---
    
    "_**Netflix** is pleased to announce the open-source release of our **crisis management** orchestration framework: **Dispatch**! [built with **FastAPI**]_"
    
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  9. docs/en/docs/deployment/cloud.md

    * <a href="https://docs.platform.sh/languages/python.html?utm_source=fastapi-signup&utm_medium=banner&utm_campaign=FastAPI-signup-June-2023" class="external-link" target="_blank">Platform.sh</a>
    * <a href="https://docs.porter.run/language-specific-guides/fastapi" class="external-link" target="_blank">Porter</a>
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  10. docs/en/docs/advanced/dataclasses.md

    So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.
    
    And of course, it supports the same:
    
    * data validation
    * data serialization
    * data documentation, etc.
    
    This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.
    
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