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  1. docs/en/docs/advanced/openapi-callbacks.md

        * This will be done by sending a POST request (from *your API*) to some *external API* provided by that external developer (this is the "callback").
    
    ## The normal **FastAPI** app
    
    Let's first see how the normal API app would look like before adding the callback.
    
    It will have a *path operation* that will receive an `Invoice` body, and a query parameter `callback_url` that will contain the URL for the callback.
    
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  2. docs/en/docs/fastapi-cli.md

    ## `fastapi dev`
    
    When you run `fastapi dev`, it will run on development mode.
    
    By default, it will have **auto-reload** enabled, so it will automatically reload the server when you make changes to your code. This is resource intensive and could be less stable than without it, you should only use it for development.
    
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  3. docs/en/docs/tutorial/dependencies/index.md

    The dependencies will keep working as expected, and the **best part** is that the **type information will be preserved**, which means that your editor will be able to keep providing you with **autocompletion**, **inline errors**, etc. The same for other tools like `mypy`.
    
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  4. docs/en/docs/advanced/websockets.md

    You will see a simple page like:
    
    <img src="/img/tutorial/websockets/image01.png">
    
    You can type messages in the input box, and send them:
    
    <img src="/img/tutorial/websockets/image02.png">
    
    And your **FastAPI** application with WebSockets will respond back:
    
    <img src="/img/tutorial/websockets/image03.png">
    
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  5. docs/en/docs/tutorial/request-files.md

    The files will be uploaded as "form data".
    
    If you declare the type of your *path operation function* parameter as `bytes`, **FastAPI** will read the file for you and you will receive the contents as `bytes`.
    
    Keep in mind that this means that the whole contents will be stored in memory. This will work well for small files.
    
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  6. docs/en/docs/advanced/openapi-webhooks.md

    This is normally called a **webhook**.
    
    ## Webhooks steps
    
    The process normally is that **you define** in your code what is the message that you will send, the **body of the request**.
    
    You also define in some way at which **moments** your app will send those requests or events.
    
    And **your users** define in some way (for example in a web dashboard somewhere) the **URL** where your app should send those requests.
    
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  7. docs/en/docs/tutorial/body-nested-models.md

        {!> ../../../docs_src/body_nested_models/tutorial003.py!}
        ```
    
    With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.
    
    And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.
    
    And it will be annotated / documented accordingly too.
    
    ## Nested Models
    
    Each attribute of a Pydantic model has a type.
    
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  8. docs/en/docs/help-fastapi.md

    You can "star" FastAPI in GitHub (clicking the star button at the top right): <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">https://github.com/tiangolo/fastapi</a>. ⭐️
    
    By adding a star, other users will be able to find it more easily and see that it has been already useful for others.
    
    ## Watch the GitHub repository for releases
    
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  9. docs/en/docs/tutorial/query-params-str-validations.md

    !!! note
        FastAPI will know that the value of `q` is not required because of the default value `= None`.
    
        The `Union` in `Union[str, None]` will allow your editor to give you better support and detect errors.
    
    ## Additional validation
    
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  10. docs/en/docs/tutorial/extra-models.md

        'email': '******@****.***',
        'full_name': None,
    }
    ```
    
    #### Unwrapping a `dict`
    
    If we take a `dict` like `user_dict` and pass it to a function (or class) with `**user_dict`, Python will "unwrap" it. It will pass the keys and values of the `user_dict` directly as key-value arguments.
    
    So, continuing with the `user_dict` from above, writing:
    
    ```Python
    UserInDB(**user_dict)
    ```
    
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