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  1. docs/de/docs/tutorial/response-model.md

    Und Tools werden auch glücklich sein, weil sowohl `RedirectResponse` als auch `JSONResponse` Unterklassen von `Response` sind, die Typannotation ist daher korrekt.
    
    ### Eine Unterklasse von Response annotieren
    
    Sie können auch eine Unterklasse von `Response` in der Typannotation verwenden.
    
    ```Python hl_lines="8-9"
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  2. docs/fr/docs/async.md

    Donc, pendant ce temps, l'ordinateur pourra effectuer d'autres tâches, pendant que "fichier-lent" 📝 se termine.
    
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  3. docs/de/docs/tutorial/path-params.md

    <img src="/img/tutorial/path-params/image01.png">
    
    !!! check
        Wiederum, mit dieser gleichen Python-Typdeklaration gibt Ihnen **FastAPI** eine automatische, interaktive Dokumentation (verwendet die Swagger-Benutzeroberfläche).
    
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  4. docs/en/docs/python-types.md

    If you can use the **latest versions of Python**, use the examples for the latest version, those will have the **best and simplest syntax**, for example, "**Python 3.10+**".
    
    #### List
    
    For example, let's define a variable to be a `list` of `str`.
    
    === "Python 3.9+"
    
        Declare the variable, with the same colon (`:`) syntax.
    
        As the type, put `list`.
    
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  5. docs/pt/docs/async.md

    Então, durante esse tempo, o computador pode ir e fazer outro trabalho, enquanto o "arquivo lento" 📝 termine.
    
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  6. docs/en/docs/tutorial/security/oauth2-jwt.md

    Create a variable `ALGORITHM` with the algorithm used to sign the JWT token and set it to `"HS256"`.
    
    Create a variable for the expiration of the token.
    
    Define a Pydantic Model that will be used in the token endpoint for the response.
    
    Create a utility function to generate a new access token.
    
    === "Python 3.10+"
    
        ```Python hl_lines="6  12-14  28-30  78-86"
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  7. docs/en/docs/deployment/concepts.md

    * **Cloud services** that handle this for you
        * The cloud service will probably **handle replication for you**. It would possibly let you define **a process to run**, or a **container image** to use, in any case, it would most probably be **a single Uvicorn process**, and the cloud service would be in charge of replicating it.
    
    !!! tip
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  8. tests/test_schema_extra_examples.py

                    ],
                ),
            ):
                return item
    
        # TODO: enable these tests once/if Form(embed=False) is supported
        # TODO: In that case, define if File() should support example/examples too
        # @app.post("/form_example")
        # def form_example(firstname: str = Form(example="John")):
        #     return firstname
    
        # @app.post("/form_examples")
    Python
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  9. docs/em/docs/tutorial/sql-databases.md

    ## 🛠️
    
    ↩️ 👥 ⚙️ 🇸🇲 🔗 &amp; 👥 🚫 🚚 🙆 😇 🔌-⚫️ 👷 ⏮️ **FastAPI**, 👥 💪 🛠️ 💽 <abbr title="Automatically updating the database to have any new column we define in our models.">🛠️</abbr> ⏮️ <a href="https://alembic.sqlalchemy.org" class="external-link" target="_blank">⚗</a> 🔗.
    
    &amp; 📟 🔗 🇸🇲 &amp; 🇸🇲 🏷 🖖 🎏 🔬 📁, 👆 🔜 💪 🎭 🛠️ ⏮️ ⚗ 🍵 ✔️ ❎ FastAPI, Pydantic, ⚖️ 🕳 🙆.
    
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  10. docs/de/docs/alternatives.md

    **FastAPI** ist eigentlich keine Alternative zu **Requests**. Der Umfang der beiden ist sehr unterschiedlich.
    
    Es wäre tatsächlich üblich, Requests *innerhalb* einer FastAPI-Anwendung zu verwenden.
    
    Dennoch erhielt FastAPI von Requests einiges an Inspiration.
    
    **Requests** ist eine Bibliothek zur *Interaktion* mit APIs (als Client), während **FastAPI** eine Bibliothek zum *Erstellen* von APIs (als Server) ist.
    
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