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  1. docs/en/docs/deployment/concepts.md

    ## Running on Startup
    
    In most cases, when you create a web API, you want it to be **always running**, uninterrupted, so that your clients can always access it. This is of course, unless you have a specific reason why you want it to run only in certain situations, but most of the time you want it constantly running and **available**.
    
    ### In a Remote Server
    
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  2. docs/en/docs/python-types.md

    ### Edit it
    
    It's a very simple program.
    
    But now imagine that you were writing it from scratch.
    
    At some point you would have started the definition of the function, you had the parameters ready...
    
    But then you have to call "that method that converts the first letter to upper case".
    
    Was it `upper`? Was it `uppercase`? `first_uppercase`? `capitalize`?
    
    Then, you try with the old programmer's friend, editor autocompletion.
    
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  3. docs/en/docs/how-to/conditional-openapi.md

    If you want to secure your API, there are several better things you can do, for example:
    
    * Make sure you have well defined Pydantic models for your request bodies and responses.
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  4. docs/en/docs/tutorial/security/oauth2-jwt.md

    ```
    
    It is not encrypted, so, anyone could recover the information from the contents.
    
    But it's signed. So, when you receive a token that you emitted, you can verify that you actually emitted it.
    
    That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.
    
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  5. docs/en/docs/reference/websockets.md

    # WebSockets
    
    When defining WebSockets, you normally declare a parameter of type `WebSocket` and with it you can read data from the client and send data to it.
    
    It is provided directly by Starlette, but you can import it from `fastapi`:
    
    ```python
    from fastapi import WebSocket
    ```
    
    !!! tip
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  6. docs/en/docs/tutorial/metadata.md

    ## Docs URLs
    
    You can configure the two documentation user interfaces included:
    
    * **Swagger UI**: served at `/docs`.
        * You can set its URL with the parameter `docs_url`.
        * You can disable it by setting `docs_url=None`.
    * **ReDoc**: served at `/redoc`.
        * You can set its URL with the parameter `redoc_url`.
        * You can disable it by setting `redoc_url=None`.
    
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  7. docs/en/docs/tutorial/security/first-steps.md

    You will see something like this:
    
    <img src="/img/tutorial/security/image01.png">
    
    !!! check "Authorize button!"
        You already have a shiny new "Authorize" button.
    
        And your *path operation* has a little lock in the top-right corner that you can click.
    
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  8. docs/en/docs/tutorial/body-multiple-params.md

    ## Embed a single body parameter
    
    Let's say you only have a single `item` body parameter from a Pydantic model `Item`.
    
    By default, **FastAPI** will then expect its body directly.
    
    But if you want it to expect a JSON with a key `item` and inside of it the model contents, as it does when you declare extra body parameters, you can use the special `Body` parameter `embed`:
    
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  9. docs/en/docs/tutorial/bigger-applications.md

    This is an advanced usage that you might not really need, but it's there in case you do.
    
    ## Include an `APIRouter` in another
    
    The same way you can include an `APIRouter` in a `FastAPI` application, you can include an `APIRouter` in another `APIRouter` using:
    
    ```Python
    router.include_router(other_router)
    ```
    
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  10. docs/en/docs/tutorial/request-forms-and-files.md

        ```
    
    The files and form fields will be uploaded as form data and you will receive the files and form fields.
    
    And you can declare some of the files as `bytes` and some as `UploadFile`.
    
    !!! warning
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