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  1. docs/tr/docs/project-generation.md

    * Python <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">**FastAPI**</a> backend:
        * **Hızlı**: **NodeJS** ve **Go** ile eşit, çok yüksek performans (Starlette ve Pydantic'e teşekkürler).
        * **Sezgisel**: Editor desteğı. <abbr title="auto-complete, IntelliSense gibi isimlerle de bilinir">Otomatik tamamlama</abbr>. Daha az debugging.
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  2. docs/fr/docs/deployment/docker.md

    # Déployer avec Docker
    
    Dans cette section, vous verrez des instructions et des liens vers des guides pour savoir comment :
    
    * Faire de votre application **FastAPI** une image/conteneur Docker avec une performance maximale. En environ **5 min**.
    * (Optionnellement) comprendre ce que vous, en tant que développeur, devez savoir sur HTTPS.
    * Configurer un cluster en mode Docker Swarm avec HTTPS automatique, même sur un simple serveur à 5 dollars US/mois. En environ **20 min**.
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  3. docs/de/docs/benchmarks.md

    Konkret geht es darum, Uvicorn, Starlette und FastAPI miteinander zu vergleichen (neben vielen anderen Tools).
    
    Je einfacher das Problem, welches durch das Tool gelöst wird, desto besser ist die Performanz. Und die meisten Benchmarks testen nicht die zusätzlichen Funktionen, welche das Tool bietet.
    
    Die Hierarchie ist wie folgt:
    
    * **Uvicorn**: ein ASGI-Server
        * **Starlette**: (verwendet Uvicorn) ein Web-Mikroframework
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  4. docs/en/docs/benchmarks.md

    Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).
    
    The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.
    
    The hierarchy is like:
    
    * **Uvicorn**: an ASGI server
        * **Starlette**: (uses Uvicorn) a web microframework
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  5. docs/en/docs/deployment/manually.md

        </div>
    
        !!! tip
            By adding the `standard`, Uvicorn will install and use some recommended extra dependencies.
    
            That including `uvloop`, the high-performance drop-in replacement for `asyncio`, that provides the big concurrency performance boost.
    
            When you install FastAPI with something like `pip install fastapi` you already get `uvicorn[standard]` as well.
    
    === "Hypercorn"
    
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  6. docs/fr/docs/deployment/index.md

    utilisateurs**.
    
    Pour une **API Web**, cela implique normalement de la placer sur une **machine distante**, avec un **programme serveur**
    qui offre de bonnes performances, une bonne stabilité, _etc._, afin que vos **utilisateurs** puissent **accéder** à
    l'application efficacement et sans interruption ni problème.
    
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  7. docs/pt/docs/project-generation.md

    * **Pronto para Produção** com servidor _web_ usando Uvicorn e Gunicorn.
    * _Backend_ <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">**FastAPI**</a> Python:
        * **Rápido**: Alta performance, no nível de **NodeJS** e **Go** (graças ao Starlette e Pydantic).
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  8. docs/fr/docs/project-generation.md

    * Serveur web Python **prêt au déploiement** utilisant Uvicorn et Gunicorn.
    * Backend Python <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">**FastAPI**</a> :
        * **Rapide** : Très hautes performances, comparables à **NodeJS** ou **Go** (grâce à Starlette et Pydantic).
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  9. fastapi/utils.py

    ) -> ModelField:
        if PYDANTIC_V2:
            return field
        # cloned_types caches already cloned types to support recursive models and improve
        # performance by avoiding unnecessary cloning
        if cloned_types is None:
            cloned_types = _CLONED_TYPES_CACHE
    
        original_type = field.type_
    Python
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  10. docs/en/docs/tutorial/path-params.md

    * Data validation
    * API annotation and automatic documentation
    
    And you only have to declare them once.
    
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