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  1. docs/de/docs/tutorial/middleware.md

    ```Python hl_lines="10  12-13"
    {!../../../docs_src/middleware/tutorial001.py!}
    ```
    
    ## Andere Middlewares
    
    Sie können später mehr über andere Middlewares in [Handbuch für fortgeschrittene Benutzer: Fortgeschrittene Middleware](../advanced/middleware.md){.internal-link target=_blank} lesen.
    
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  2. docs/de/docs/tutorial/dependencies/sub-dependencies.md

    === "Python 3.10+"
    
        ```Python hl_lines="13"
        {!> ../../../docs_src/dependencies/tutorial005_an_py310.py!}
        ```
    
    === "Python 3.9+"
    
        ```Python hl_lines="13"
        {!> ../../../docs_src/dependencies/tutorial005_an_py39.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="14"
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  3. docs/de/docs/tutorial/body-nested-models.md

    Sie können ein Attribut als Kindtyp definieren, zum Beispiel eine Python-`list`e.
    
    === "Python 3.10+"
    
        ```Python hl_lines="12"
        {!> ../../../docs_src/body_nested_models/tutorial001_py310.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="14"
        {!> ../../../docs_src/body_nested_models/tutorial001.py!}
        ```
    
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  4. docs/en/docs/alternatives.md

    ## Previous tools
    
    ### <a href="https://www.djangoproject.com/" class="external-link" target="_blank">Django</a>
    
    It's the most popular Python framework and is widely trusted. It is used to build systems like Instagram.
    
    It's relatively tightly coupled with relational databases (like MySQL or PostgreSQL), so, having a NoSQL database (like Couchbase, MongoDB, Cassandra, etc) as the main store engine is not very easy.
    
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  5. docs/en/docs/benchmarks.md

        * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself....
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  6. docs/en/docs/tutorial/response-model.md

    === "Python 3.10+"
    
        ```Python hl_lines="16  21"
        {!> ../../../docs_src/response_model/tutorial001_01_py310.py!}
        ```
    
    === "Python 3.9+"
    
        ```Python hl_lines="18  23"
        {!> ../../../docs_src/response_model/tutorial001_01_py39.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="18  23"
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  7. docs/en/docs/tutorial/path-params.md

    ```Python hl_lines="6-7"
    {!../../../docs_src/path_params/tutorial001.py!}
    ```
    
    The value of the path parameter `item_id` will be passed to your function as the argument `item_id`.
    
    So, if you run this example and go to <a href="http://127.0.0.1:8000/items/foo" class="external-link" target="_blank">http://127.0.0.1:8000/items/foo</a>, you will see a response of:
    
    ```JSON
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  8. docs/de/docs/benchmarks.md

    Beim Ansehen von Benchmarks und Vergleichen sollten Sie jedoch Folgende Punkte beachten.
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  9. docs/ko/docs/tutorial/request-files.md

    `UploadFile` 에는 다음의 `async` 메소드들이 있습니다. 이들은 내부적인 `SpooledTemporaryFile` 을 사용하여 해당하는 파일 메소드를 호출합니다.
    
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  10. docs/de/docs/reference/exceptions.md

    Dies sind die <abbr title="Exception – Ausnahme, Fehler: Python-Objekt, das einen Fehler nebst Metadaten repräsentiert">Exceptions</abbr>, die Sie auslösen können, um dem Client Fehler zu berichten.
    
    Wenn Sie eine Exception auslösen, wird, wie es bei normalem Python der Fall wäre, der Rest der Ausführung abgebrochen. Auf diese Weise können Sie diese Exceptions von überall im Code werfen, um einen Request abzubrechen und den Fehler dem Client anzuzeigen.
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