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  1. docs/es/docs/tutorial/cookie-params.md

        {!> ../../../docs_src/cookie_params/tutorial001.py!}
        ```
    
    !!! note "Detalles Técnicos"
        `Cookie` es una clase "hermana" de `Path` y `Query`. También hereda de la misma clase común `Param`.
    
        Pero recuerda que cuando importas `Query`, `Path`, `Cookie`  y otros de `fastapi`, en realidad son funciones que devuelven clases especiales.
    
    !!! info
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  2. docs/en/docs/tutorial/middleware.md

    * Then it returns the **response**.
    
    !!! note "Technical Details"
        If you have dependencies with `yield`, the exit code will run *after* the middleware.
    
        If there were any background tasks (documented later), they will run *after* all the middleware.
    
    ## Create a middleware
    
    To create a middleware you use the decorator `@app.middleware("http")` on top of a function.
    
    The middleware function receives:
    
    * The `request`.
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  3. docs/fr/docs/history-design-future.md

    Par exemple, il était clair que l'idéal était de se baser sur les annotations de type Python standard.
    
    De plus, la meilleure approche était d'utiliser des normes déjà existantes.
    
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  4. docs/en/docs/advanced/behind-a-proxy.md

    ## Proxy with a stripped path prefix
    
    Having a proxy with a stripped path prefix, in this case, means that you could declare a path at `/app` in your code, but then, you add a layer on top (the proxy) that would put your **FastAPI** application under a path like `/api/v1`.
    
    In this case, the original path `/app` would actually be served at `/api/v1/app`.
    
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  5. docs/en/docs/tutorial/first-steps.md

    ```Python hl_lines="8"
    {!../../../docs_src/first_steps/tutorial001.py!}
    ```
    
    You can return a `dict`, `list`, singular values as `str`, `int`, etc.
    
    You can also return Pydantic models (you'll see more about that later).
    
    There are many other objects and models that will be automatically converted to JSON (including ORMs, etc). Try using your favorite ones, it's highly probable that they are already supported.
    
    ## Recap
    
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  6. docs/en/docs/alternatives.md

    Routes are declared in a single place, using functions declared in other places (instead of using decorators that can be placed right on top of the function that handles the endpoint). This is closer to how Django does it than to how Flask (and Starlette) does it. It separates in the code things that are relatively tightly coupled.
    
    !!! check "Inspired **FastAPI** to"
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  7. docs/en/docs/tutorial/response-model.md

    ### Return a Response Directly
    
    The most common case would be [returning a Response directly as explained later in the advanced docs](../advanced/response-directly.md){.internal-link target=_blank}.
    
    ```Python hl_lines="8  10-11"
    {!> ../../../docs_src/response_model/tutorial003_02.py!}
    ```
    
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  8. docs/en/docs/deployment/https.md

    * Certificates have a **lifetime**.
        * They **expire**.
        * And then they need to be **renewed**, **acquired again** from the third party.
    * The encryption of the connection happens at the **TCP level**.
        * That's one layer **below HTTP**.
        * So, the **certificate and encryption** handling is done **before HTTP**.
    * **TCP doesn't know about "domains"**. Only about IP addresses.
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  9. docs/en/docs/tutorial/security/first-steps.md

        * A "token" is just a string with some content that we can use later to verify this user.
        * Normally, a token is set to expire after some time.
            * So, the user will have to log in again at some point later.
            * And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases).
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  10. docs/en/docs/tutorial/security/oauth2-jwt.md

        But it was updated to use Python-jose instead as it provides all the features from PyJWT plus some extras that you might need later when building integrations with other tools.
    
    ## Password hashing
    
    "Hashing" means converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.
    
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