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  1. docs/ru/docs/deployment/manually.md

    Существует три наиболее распространённые альтернативы:
    
    * <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>: высокопроизводительный ASGI сервер.
    * <a href="https://hypercorn.readthedocs.io/" class="external-link" target="_blank">Hypercorn</a>: ASGI сервер, помимо прочего поддерживающий HTTP/2 и Trio.
    * <a href="https://github.com/django/daphne" class="external-link" target="_blank">Daphne</a>: ASGI сервер, созданный для Django Channels.
    
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  2. docs/uk/docs/index.md

    **Typer** є молодшим братом FastAPI. І це **FastAPI для CLI**. ⌨️ 🚀
    
    ## Вимоги
    
    FastAPI стоїть на плечах гігантів:
    
    * <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> для web частини.
    * <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> для частини даних.
    
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  3. docs/pt/docs/features.md

    * <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank"><strong>Swagger UI</strong></a>, com navegação interativa, chame e teste sua API diretamente do navegador.
    
    ![Interação Swagger UI](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)
    
    * Documentação alternativa da API com <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank"><strong>ReDoc</strong></a>.
    
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  4. docs/ko/docs/index.md

    **Typer**는 FastAPI의 동생입니다. 그리고 **FastAPI의 CLI**가 되기 위해 생겼습니다. ⌨️ 🚀
    
    ## 요구사항
    
    FastAPI는 거인들의 어깨 위에 서 있습니다:
    
    * 웹 부분을 위한 <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a>.
    * 데이터 부분을 위한 <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>.
    
    ## 설치
    
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  5. docs/em/docs/advanced/wsgi.md

    &amp; 🎂 🔜 🍵 **FastAPI**.
    
    🚥 👆 🏃 ⚫️ ⏮️ Uvicorn &amp; 🚶 <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a> 👆 🔜 👀 📨 ⚪️➡️ 🏺:
    
    ```txt
    Hello, World from Flask!
    ```
    
    &amp; 🚥 👆 🚶 <a href="http://localhost:8000/v2" class="external-link" target="_blank">http://localhost:8000/v2</a> 👆 🔜 👀 📨 ⚪️➡️ FastAPI:
    
    ```JSON
    {
        "message": "Hello World"
    }
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  6. docs/de/docs/features.md

    * <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank"><strong>Swagger UI</strong></a>, bietet interaktive Erkundung, testen und rufen Sie ihre API direkt im Webbrowser auf.
    
    ![Swagger UI Interaktion](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)
    
    * Alternative API-Dokumentation mit <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank"><strong>ReDoc</strong></a>.
    
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  7. docs/en/docs/tutorial/body.md

    There were even some changes to Pydantic itself to support this.
    
    The previous screenshots were taken with <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.
    
    But you would get the same editor support with <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> and most of the other Python editors:
    
    <img src="/img/tutorial/body/image05.png">
    
    /// tip
    
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  8. docs/fr/docs/tutorial/body.md

    Les captures d'écrans précédentes ont été prises sur <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.
    
    Mais vous auriez le même support de l'éditeur avec <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> et la majorité des autres éditeurs de code Python.
    
    <img src="/img/tutorial/body/image05.png">
    
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  9. docs/en/docs/features.md

    * Automatic data model documentation with <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (as...
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  10. docs/ko/docs/features.md

    * <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (OpenAPI 자체가 JSON Schema를 기반으로 하고 있습니다)를 사용한 자동 데이터 모델 문서화.
    * 단순히 떠올려서 덧붙인 기능이 아닙니다. 세심한 검토를 거친 후, 이러한 표준을 기반으로 설계되었습니다.
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