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  1. docs/en/docs/tutorial/first-steps.md

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  2. docs/en/docs/release-notes.md

    For the things that need changes in your Pydantic models, the Pydantic team built [`bump-pydantic`](https://github.com/pydantic/bump-pydantic).
    
    A command line tool that will **process your code** and update most of the things **automatically** for you. Make sure you have your code in git first, and review each of the changes to make sure everything is correct before committing the changes.
    
    ### Pydantic v1
    
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  3. docs/en/docs/fastapi-cli.md

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  4. pyproject.toml

        "ignore::trio.TrioDeprecationWarning",
        # TODO remove pytest-cov
        'ignore::pytest.PytestDeprecationWarning:pytest_cov',
        # TODO: remove after upgrading SQLAlchemy to a version that includes the following changes
        # https://github.com/sqlalchemy/sqlalchemy/commit/59521abcc0676e936b31a523bd968fc157fef0c2
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  5. docs/en/docs/deployment/docker.md

    And as you would be building the container image again and again during development to check that your code changes are working, there's a lot of accumulated time this would save.
    
    Then, near the end of the `Dockerfile`, we copy all the code. As this is what **changes most frequently**, we put it near the end, because almost always, anything after this step will not be able to use the cache.
    
    ```Dockerfile
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  6. docs/en/docs/tutorial/index.md

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  7. README.md

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  8. docs/en/docs/index.md

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  9. docs/en/docs/advanced/settings.md

    In many cases your application could need some external settings or configurations, for example secret keys, database credentials, credentials for email services, etc.
    
    Most of these settings are variable (can change), like database URLs. And many could be sensitive, like secrets.
    
    For this reason it's common to provide them in environment variables that are read by the application.
    
    ## Environment Variables
    
    !!! tip
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