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  1. docs/fr/docs/async.md

    Et c'est le même niveau de performance que celui obtenu avec **FastAPI**.
    
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  2. docs/de/docs/features.md

    Mit **FastAPI** bekommen Sie alles von **Starlette** (da FastAPI nur Starlette auf Steroiden ist):
    
    * Schwer beeindruckende Performanz. Es ist <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">eines der schnellsten Python-Frameworks, auf Augenhöhe mit **NodeJS** und **Go**</a>.
    * **WebSocket**-Unterstützung.
    * Hintergrundaufgaben im selben Prozess.
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  3. docs/pt/docs/async.md

    E esse é o mesmo nível de performance que você tem com o **FastAPI**.
    
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  4. 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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  5. fastapi/dependencies/models.py

            self.call = call
            self.use_cache = use_cache
            # Store the path to be able to re-generate a dependable from it in overrides
            self.path = path
            # Save the cache key at creation to optimize performance
    Python
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  6. docs/pt/docs/deployment.md

    Por exemplo:
    
    ```txt
    pydantic>=1.2.0,<2.0.0
    ```
    
    ## Docker
    
    Nessa seção você verá instruções e _links_ para guias de saber como:
    
    * Fazer uma imagem/container da sua aplicação **FastAPI** com máxima performance. Em aproximadamente **5 min**.
    * (Opcionalmente) entender o que você, como desenvolvedor, precisa saber sobre HTTPS.
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  7. docs/en/docs/tutorial/bigger-applications.md

        So, behind the scenes, it will actually work as if everything was the same single app.
    
    !!! check
        You don't have to worry about performance when including routers.
    
        This will take microseconds and will only happen at startup.
    
        So it won't affect performance. ⚡
    
    ### Include an `APIRouter` with a custom `prefix`, `tags`, `responses`, and `dependencies`
    
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  8. docs/de/docs/tutorial/path-params.md

    * API-Annotationen und automatische Dokumentation
    
    Und Sie müssen sie nur einmal deklarieren.
    
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  9. pyproject.toml

    [build-system]
    requires = ["pdm-backend"]
    build-backend = "pdm.backend"
    
    [project]
    name = "fastapi"
    dynamic = ["version"]
    description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
    readme = "README.md"
    requires-python = ">=3.8"
    authors = [
        { name = "Sebastián Ramírez", email = "******@****.***" },
    ]
    classifiers = [
        "Intended Audience :: Information Technology",
    Plain Text
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  10. docs/ja/docs/features.md

    `FastAPI`は実際には`Starlette`のサブクラスです。したがって、Starletteをすでに知っているか使用している場合は、ほとんどの機能が同じように機能します。
    
    **FastAPI**を使用すると、以下のような、**Starlette**のすべての機能を利用できます(FastAPIはStarletteを強化したものにすぎないため):
    
    * 見事なパフォーマンス。<a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank"> **NodeJS**および**Go**に匹敵する、最速のPythonフレームワークの1つです。</a>
    
    * **WebSocket**のサポート
    * **GraphQL**のサポート
    * プロセス内バックグラウンドタスク
    * 起動およびシャットダウンイベント
    * `httpx`に基づいて構築されたテストクライアント
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