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  1. docs/de/docs/benchmarks.md

        * FastAPI bietet zusätzlich zu Starlette weitere Funktionen. Funktionen, die Sie beim Erstellen von APIs fast immer benötigen, wie Datenvalidierung und Serialisierung. Und wenn Sie es verwenden, erhalten Sie kostenlos automatische Dokumentation (die automatische Dokumentation verursacht nicht einmal zusätzlichen Aufwand für laufende Anwendungen, sie wird beim...
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  2. docs/ru/docs/tutorial/request-forms-and-files.md

        Это не ограничение **Fast API**, это часть протокола HTTP.
    
    ## Резюме
    
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  3. .github/workflows/test.yml

          matrix:
            python-version:
              - "3.12"
              - "3.11"
              - "3.10"
              - "3.9"
              - "3.8"
            pydantic-version: ["pydantic-v1", "pydantic-v2"]
          fail-fast: false
        steps:
          - name: Dump GitHub context
            env:
              GITHUB_CONTEXT: ${{ toJson(github) }}
            run: echo "$GITHUB_CONTEXT"
          - uses: actions/checkout@v4
          - name: Set up Python
    Others
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  4. docs/fr/docs/async.md

    Le fast-food a 8 processeurs (serveurs/cuisiniers) 👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳. Alors que le fast-food de burgers concurrents en avait 2 (un serveur et un cuisinier).
    
    Et pourtant l'expérience finale n'est pas meilleure 😞.
    
    ---
    
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  5. docs/en/docs/alternatives.md

    It was one of the first extremely fast Python frameworks based on `asyncio`. It was made to be very similar to Flask.
    
    !!! note "Technical Details"
        It used <a href="https://github.com/MagicStack/uvloop" class="external-link" target="_blank">`uvloop`</a> instead of the default Python `asyncio` loop. That's what made it so fast.
    
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  6. fastapi/__init__.py

    """FastAPI framework, high performance, easy to learn, fast to code, ready for production"""
    
    __version__ = "0.111.0"
    
    from starlette import status as status
    
    from .applications import FastAPI as FastAPI
    from .background import BackgroundTasks as BackgroundTasks
    from .datastructures import UploadFile as UploadFile
    from .exceptions import HTTPException as HTTPException
    from .exceptions import WebSocketException as WebSocketException
    Python
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  7. docs/de/docs/deployment/cloud.md

    * <a href="https://docs.withcoherence.com/docs/configuration/frameworks?utm_medium=advertising&utm_source=fastapi&utm_campaign=banner%20january%2024#fast-api-example" class="external-link" target="_blank">Coherence</a>...
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  8. docs/en/docs/deployment/manually.md

    But you can also install an ASGI server manually:
    
    === "Uvicorn"
    
        * <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>, a lightning-fast ASGI server, built on uvloop and httptools.
    
        <div class="termy">
    
        ```console
        $ pip install "uvicorn[standard]"
    
        ---> 100%
        ```
    
        </div>
    
        !!! tip
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  9. docs/en/docs/deployment/cloud.md

    * <a href="https://docs.withcoherence.com/docs/configuration/frameworks?utm_medium=advertising&utm_source=fastapi&utm_campaign=banner%20january%2024#fast-api-example" class="external-link" target="_blank">Coherence</a>...
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  10. docs/it/docs/index.md

    ---
    
    "_If you're looking to learn one **modern framework** for building REST APIs, check out **FastAPI** [...] It's fast, easy to use and easy to learn [...]_"
    
    "_We've switched over to **FastAPI** for our **APIs** [...] I think you'll like it [...]_"
    
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