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  1. docs/en/docs/tutorial/query-params-str-validations.md

    ## Use `Annotated` in the type for the `q` parameter
    
    Remember I told you before that `Annotated` can be used to add metadata to your parameters in the [Python Types Intro](../python-types.md#type-hints-with-metadata-annotations){.internal-link target=_blank}?
    
    Now it's the time to use it with FastAPI. 🚀
    
    We had this type annotation:
    
    === "Python 3.10+"
    
        ```Python
        q: str | None = None
        ```
    
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  2. docs/tr/docs/index.md

    **Kaynak Kod**: <a href="https://github.com/tiangolo/fastapi" target="_blank">https://github.com/tiangolo/fastapi</a>
    
    ---
    
    FastAPI, Python 'nin standart <abbr title="Tip Belirteçleri: Type Hints">tip belirteçleri</abbr>ne dayalı, modern ve hızlı (yüksek performanslı) API'lar oluşturmak için kullanılabilecek web framework'tür.
    
    Temel özellikleri şunlardır:
    
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  3. README.md

    ---
    
    FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.
    
    The key features are:
    
    * **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
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  4. docs/fr/docs/alternatives.md

    C'était l'une des premières implémentations d'un framework utilisant les type hints Python pour déclarer les paramètres
    et les requêtes que j'ai vues (avant NestJS et Molten). Je l'ai trouvé plus ou moins en même temps que Hug. Mais APIStar utilisait le standard OpenAPI.
    
    Il disposait de la validation automatique, sérialisation des données et d'une génération de schéma OpenAPI basée sur les mêmes type hints à plusieurs endroits.
    
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  5. docs/es/docs/python-types.md

    Estos **type hints** son una nueva sintaxis, desde Python 3.6+, que permite declarar el <abbr title="por ejemplo: str, int, float, bool">tipo</abbr> de una variable.
    
    Usando las declaraciones de tipos para tus variables, los editores y otras herramientas pueden proveerte un soporte mejor.
    
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  6. docs/pt/docs/python-types.md

    **Python 3.6 +** tem suporte para "type hints" opcionais.
    
    Esses **"type hints"** são uma nova sintaxe (desde Python 3.6+) que permite declarar o <abbr title = "por exemplo: str, int, float, bool"> tipo </abbr> de uma variável.
    
    Ao declarar tipos para suas variáveis, editores e ferramentas podem oferecer um melhor suporte.
    
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  7. docs/pt/docs/alternatives.md

    Ele foi uma das primeiras implementações de um framework usando Python _type hints_ para declarar parâmetros e requisições que eu nunca vi (antes no NestJS e Molten). Eu encontrei ele mais ou menos na mesma época que o Hug. Mas o APIStar utilizava o padrão OpenAPI.
    
    Ele tinha validação de dados automática, serialização de dados e geração de _schema_ OpenAPI baseado nos mesmos _type hints_ em vários locais.
    
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  8. docs/vi/docs/python-types.md

    # Giới thiệu kiểu dữ liệu Python
    
    Python hỗ trợ tùy chọn "type hints" (còn được gọi là "type annotations").
    
    Những **"type hints"** hay chú thích là một cú pháp đặc biệt cho phép khai báo <abbr title="ví dụ: str, int, float, bool"> kiểu dữ liệu</abbr> của một biến.
    
    Bằng việc khai báo kiểu dữ liệu cho các biến của bạn, các trình soạn thảo và các công cụ có thể hỗ trợ bạn tốt hơn.
    
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  9. docs/tr/docs/history-design-future.md

    Ancak bir noktada, geçmişteki diğer araçlardan en iyi fikirleri alarak bütün bu çözümleri kapsayan, ayrıca bütün bunları Python'ın daha önce mevcut olmayan özelliklerini (Python 3.6+ ile gelen <abbr title="Tip belirteçleri: Type Hints">tip belirteçleri</abbr>) kullanarak yapan bir şey üretmekten başka bir seçenek kalmamıştı.
    
    </blockquote>
    
    ## Araştırma
    
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  10. docs/en/docs/tutorial/body.md

    And will be also used in the API docs inside each *path operation* that needs them:
    
    <img src="/img/tutorial/body/image02.png">
    
    ## Editor support
    
    In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):
    
    <img src="/img/tutorial/body/image03.png">
    
    You also get error checks for incorrect type operations:
    
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