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  1. docs/en/docs/features.md

    ### Short
    
    It has sensible **defaults** for everything, with optional configurations everywhere. All the parameters can be fine-tuned to do what you need and to define the API you need.
    
    But by default, it all **"just works"**.
    
    ### Validation
    
    * Validation for most (or all?) Python **data types**, including:
        * JSON objects (`dict`).
        * JSON array (`list`) defining item types.
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  2. docs/en/docs/advanced/openapi-webhooks.md

    # OpenAPI Webhooks
    
    There are cases where you want to tell your API **users** that your app could call *their* app (sending a request) with some data, normally to **notify** of some type of **event**.
    
    This means that instead of the normal process of your users sending requests to your API, it's **your API** (or your app) that could **send requests to their system** (to their API, their app).
    
    This is normally called a **webhook**.
    
    ## Webhooks steps
    
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  3. docs/en/docs/tutorial/extra-models.md

    ```Python
    user_in = UserIn(username="john", password="secret", email="******@****.***")
    ```
    
    and then we call:
    
    ```Python
    user_dict = user_in.dict()
    ```
    
    we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).
    
    And if we call:
    
    ```Python
    print(user_dict)
    ```
    
    we would get a Python `dict` with:
    
    ```Python
    {
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  4. docs/de/docs/tutorial/dependencies/classes-as-dependencies.md

    Der springende Punkt ist, dass eine Abhängigkeit aufrufbar („callable“) sein sollte.
    
    Ein „**Callable**“ in Python ist etwas, das wie eine Funktion aufgerufen werden kann („to call“).
    
    Wenn Sie also ein Objekt `something` haben (das möglicherweise _keine_ Funktion ist) und Sie es wie folgt aufrufen (ausführen) können:
    
    ```Python
    something()
    ```
    
    oder
    
    ```Python
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  5. docs/en/docs/advanced/openapi-callbacks.md

    So we are going to use that same knowledge to document how the *external API* should look like... by creating the *path operation(s)* that the external API should implement (the ones your API will call).
    
    !!! tip
        When writing the code to document a callback, it might be useful to imagine that you are that *external developer*. And that you are currently implementing the *external API*, not *your API*.
    
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  6. docs/en/docs/tutorial/request-files.md

    `UploadFile` has the following `async` methods. They all call the corresponding file methods underneath (using the internal `SpooledTemporaryFile`).
    
    * `write(data)`: Writes `data` (`str` or `bytes`) to the file.
    * `read(size)`: Reads `size` (`int`) bytes/characters of the file.
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  7. docs/de/docs/advanced/settings.md

    <div class="termy">
    
    ```console
    $ pip install pydantic-settings
    ---> 100%
    ```
    
    </div>
    
    Es ist bereits enthalten, wenn Sie die `all`-Extras installiert haben, mit:
    
    <div class="termy">
    
    ```console
    $ pip install "fastapi[all]"
    ---> 100%
    ```
    
    </div>
    
    !!! info
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  8. docs/en/docs/history-design-future.md

    That way I could find the best ways to reduce code duplication as much as possible, to have completion everywhere, type and error checks, etc.
    
    All in a way that provided the best development experience for all the developers.
    
    ## Requirements
    
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  9. docs/en/docs/tutorial/query-params-str-validations.md

    You could **call** that same function in **other places** without FastAPI, and it would **work as expected**. If there's a **required** parameter (without a default value), your **editor** will let you know with an error, **Python** will also complain if you run it without passing the required parameter.
    
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  10. requirements.txt

    -e .[all]
    -r requirements-tests.txt
    -r requirements-docs.txt
    pre-commit >=2.17.0,<4.0.0
    # For generating screenshots
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