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  1. docs/en/docs/advanced/testing-database.md

    ```Python hl_lines="8-13"
    {!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!}
    ```
    
    !!! tip
        You could reduce duplication in that code by putting it in a function and using it from both `database.py` and `tests/test_sql_app.py`.
    
        For simplicity and to focus on the specific testing code, we are just copying it.
    
    ## Create the database
    
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  2. docs/en/docs/tutorial/response-model.md

    You can also use the *path operation decorator* parameters `response_model_include` and `response_model_exclude`.
    
    They take a `set` of `str` with the name of the attributes to include (omitting the rest) or to exclude (including the rest).
    
    This can be used as a quick shortcut if you have only one Pydantic model and want to remove some data from the output.
    
    !!! tip
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  3. docs/en/docs/python-types.md

    ## Type Hints with Metadata Annotations
    
    Python also has a feature that allows putting **additional metadata** in these type hints using `Annotated`.
    
    === "Python 3.9+"
    
        In Python 3.9, `Annotated` is part of the standard library, so you can import it from `typing`.
    
        ```Python hl_lines="1  4"
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  4. docs/en/docs/release-notes.md

    * 🔧 Update sponsors, remove Classiq, add ImgWhale. PR [#5079](https://github.com/tiangolo/fastapi/pull/5079) by [@tiangolo](https://github.com/tiangolo).
    
    ## 0.78.0
    
    ### Features
    
    * ✨ Add support for omitting `...` as default value when declaring required parameters with:
    
    * `Path()`
    * `Query()`
    * `Header()`
    * `Cookie()`
    * `Body()`
    * `Form()`
    * `File()`
    
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  5. docs/en/docs/history-design-future.md

    ## Future
    
    By this point, it's already clear that **FastAPI** with its ideas is being useful for many people.
    
    It is being chosen over previous alternatives for suiting many use cases better.
    
    Many developers and teams already depend on **FastAPI** for their projects (including me and my team).
    
    But still, there are many improvements and features to come.
    
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  6. docs/en/docs/tutorial/extra-models.md

        ```
    
    ### `Union` in Python 3.10
    
    In this example we pass `Union[PlaneItem, CarItem]` as the value of the argument `response_model`.
    
    Because we are passing it as a **value to an argument** instead of putting it in a **type annotation**, we have to use `Union` even in Python 3.10.
    
    If it was in a type annotation we could have used the vertical bar, as:
    
    ```Python
    some_variable: PlaneItem | CarItem
    ```
    
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  7. docs/en/docs/tutorial/query-params-str-validations.md

    ## Alternative (old) `Query` as the default value
    
    Previous versions of FastAPI (before <abbr title="before 2023-03">0.95.0</abbr>) required you to use `Query` as the default value of your parameter, instead of putting it in `Annotated`, there's a high chance that you will see code using it around, so I'll explain it to you.
    
    !!! tip
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  8. docs/en/docs/async.md

    While you are waiting, you go with your crush and pick a table, you sit and talk with your crush for a long time (as your burgers are very fancy and take some time to prepare).
    
    As you are sitting at the table with your crush, while you wait for the burgers, you can spend that time admiring how awesome, cute and smart your crush is ✨😍✨.
    
    <img src="/img/async/concurrent-burgers/concurrent-burgers-05.png" class="illustration">
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  9. docs/en/docs/deployment/index.md

    Deploying a **FastAPI** application is relatively easy.
    
    ## What Does Deployment Mean
    
    To **deploy** an application means to perform the necessary steps to make it **available to the users**.
    
    For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.
    
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  10. docs/en/docs/advanced/events.md

    We create an async function `lifespan()` with `yield` like this:
    
    ```Python hl_lines="16  19"
    {!../../../docs_src/events/tutorial003.py!}
    ```
    
    Here we are simulating the expensive *startup* operation of loading the model by putting the (fake) model function in the dictionary with machine learning models before the `yield`. This code will be executed **before** the application **starts taking requests**, during the *startup*.
    
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