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  1. docs/en/docs/tutorial/body-updates.md

    This means that you can send only the data that you want to update, leaving the rest intact.
    
    !!! note
        `PATCH` is less commonly used and known than `PUT`.
    
        And many teams use only `PUT`, even for partial updates.
    
        You are **free** to use them however you want, **FastAPI** doesn't impose any restrictions.
    
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  2. docs/en/docs/deployment/server-workers.md

    ## Uvicorn with Workers
    
    Uvicorn also has an option to start and run several **worker processes**.
    
    Nevertheless, as of now, Uvicorn's capabilities for handling worker processes are more limited than Gunicorn's. So, if you want to have a process manager at this level (at the Python level), then it might be better to try with Gunicorn as the process manager.
    
    In any case, you would run it like this:
    
    <div class="termy">
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  3. fastapi/routing.py

                    """
                    Configuration passed to Pydantic to define if the response data should
                    exclude fields set to `None`.
    
                    This is much simpler (less smart) than `response_model_exclude_unset`
                    and `response_model_exclude_defaults`. You probably want to use one of
                    those two instead of this one, as those allow returning `None` values
    Python
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  4. docs/en/docs/tutorial/schema-extra-example.md

        Because of that, versions of FastAPI previous to 0.99.0 still used versions of OpenAPI lower than 3.1.0.
    
    ### Pydantic and FastAPI `examples`
    
    When you add `examples` inside a Pydantic model, using `schema_extra` or `Field(examples=["something"])` that example is added to the **JSON Schema** for that Pydantic model.
    
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  5. docs/ko/docs/index.md

    ## 의견들
    
    "_[...] 저는 요즘 **FastAPI**를 많이 사용하고 있습니다. [...] 사실 우리 팀의 **마이크로소프트 ML 서비스** 전부를 바꿀 계획입니다. 그중 일부는 핵심 **Windows**와 몇몇의 **Office** 제품들이 통합되고 있습니다._"
    
    <div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>마이크로소프트</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
    "_**FastAPI** 라이브러리를 채택하여 **예측**을 얻기 위해 쿼리를 실행 할 수 있는 **REST** 서버를 생성했습니다. [Ludwig을 위해]_"
    
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  6. docs/zh-hant/docs/index.md

    ## 評價
    
    "_[...] 近期大量的使用 **FastAPI**。 [...] 目前正在計畫在**微軟**團隊的**機器學習**服務中導入。其中一些正在整合到核心的 **Windows** 產品和一些 **Office** 產品。_"
    
    <div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
    "_我們使用 **FastAPI** 來建立產生**預測**結果的 **REST** 伺服器。 [for Ludwig]_"
    
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