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  1. 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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  2. 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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  3. docs/en/docs/external-links.md

    **FastAPI** has a great community constantly growing.
    
    There are many posts, articles, tools, and projects, related to **FastAPI**.
    
    Here's an incomplete list of some of them.
    
    !!! tip
        If you have an article, project, tool, or anything related to **FastAPI** that is not yet listed here, create a <a href="https://github.com/tiangolo/fastapi/edit/master/docs/en/data/external_links.yml" class="external-link" target="_blank">Pull Request adding it</a>.
    
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  4. docs/en/docs/deployment/versions.md

    ```txt
    fastapi>=0.45.0,<0.46.0
    ```
    
    that would mean that you would use the versions `0.45.0` or above, but less than `0.46.0`, for example, a version `0.45.2` would still be accepted.
    
    If you use any other tool to manage your installations, like Poetry, Pipenv, or others, they all have a way that you can use to define specific versions for your packages.
    
    ## Available versions
    
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  5. docs/en/docs/alternatives.md

    Webargs is a tool that was made to provide that on top of several frameworks, including Flask.
    
    It uses Marshmallow underneath to do the data validation. And it was created by the same developers.
    
    It's a great tool and I have used it a lot too, before having **FastAPI**.
    
    !!! info
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  6. docs/ru/docs/python-types.md

    # Введение в аннотации типов Python
    
    Python имеет поддержку необязательных аннотаций типов.
    
    **Аннотации типов** являются специальным синтаксисом, который позволяет определять <abbr title="например: str, int, float, bool">тип</abbr> переменной.
    
    Объявление типов для переменных позволяет улучшить поддержку вашего кода редакторами и различными инструментами.
    
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  7. docs/uk/docs/python-types.md

    Python підтримує додаткові "підказки типу" ("type hints") (також звані "анотаціями типу" ("type annotations")).
    
    Ці **"type hints"** є спеціальним синтаксисом, що дозволяє оголошувати <abbr title="наприклад: str, int, float, bool">тип</abbr> змінної.
    
    За допомогою оголошення типів для ваших змінних, редактори та інструменти можуть надати вам кращу підтримку.
    
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  8. docs/pl/docs/index.md

    from typing import Union
    
    from fastapi import FastAPI
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class Item(BaseModel):
        name: str
        price: float
        is_offer: Union[bool, None] = None
    
    
    @app.get("/")
    def read_root():
        return {"Hello": "World"}
    
    
    @app.get("/items/{item_id}")
    def read_item(item_id: int, q: Union[str, None] = None):
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  9. docs/ru/docs/index.md

    from typing import Union
    
    from fastapi import FastAPI
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class Item(BaseModel):
        name: str
        price: float
        is_offer: Union[bool, None] = None
    
    
    @app.get("/")
    def read_root():
        return {"Hello": "World"}
    
    
    @app.get("/items/{item_id}")
    def read_item(item_id: int, q: Union[str, None] = None):
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  10. docs/it/docs/index.md

    from fastapi import FastAPI
    from pydantic import BaseModel
    from typing import Optional
    
    app = FastAPI()
    
    
    class Item(BaseModel):
        name: str
        price: float
        is_offer: bool = Optional[None]
    
    
    @app.get("/")
    def read_root():
        return {"Hello": "World"}
    
    
    @app.get("/items/{item_id}")
    def read_item(item_id: int, q: Optional[str] = None):
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