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  1. docs/en/docs/advanced/index.md

    # Advanced User Guide
    
    ## Additional Features
    
    The main [Tutorial - User Guide](../tutorial/index.md){.internal-link target=_blank} should be enough to give you a tour through all the main features of **FastAPI**.
    
    In the next sections you will see other options, configurations, and additional features.
    
    !!! tip
        The next sections are **not necessarily "advanced"**.
    
        And it's possible that for your use case, the solution is in one of them.
    
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  2. docs/id/docs/tutorial/index.md

    Langkah pertama adalah dengan meng-install FastAPI.
    
    Untuk tutorial, kamu mungkin hendak meng-installnya dengan semua pilihan fitur dan dependensinya:
    
    <div class="termy">
    
    ```console
    $ pip install "fastapi[all]"
    
    ---> 100%
    ```
    
    </div>
    
    ...yang juga termasuk `uvicorn`, yang dapat kamu gunakan sebagai server yang menjalankan kodemu.
    
    !!! catatan
        Kamu juga dapat meng-installnya bagian demi bagian.
    
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  3. docs/es/docs/tutorial/index.md

    El primer paso es instalar FastAPI.
    
    Para el tutorial, es posible que quieras instalarlo con todas las dependencias y características opcionales:
    
    <div class="termy">
    
    ```console
    $ pip install "fastapi[all]"
    
    ---> 100%
    ```
    
    </div>
    
    ...eso también incluye `uvicorn` que puedes usar como el servidor que ejecuta tu código.
    
    !!! nota
        También puedes instalarlo parte por parte.
    
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  4. docs/uk/docs/index.md

    <a href="https://fastapi.tiangolo.com/fastapi-people/#sponsors" class="external-link" target="_blank">Other sponsors</a>
    
    ## Враження
    
    "_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"
    
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  5. docs/tr/docs/index.md

    * <a href="https://github.com/ijl/orjson" target="_blank"><code>orjson</code></a> - `ORJSONResponse` kullanacaksanız gereklidir.
    
    Bunların hepsini `pip install fastapi[all]` ile yükleyebilirsin.
    
    ## Lisans
    
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  6. docs/fr/docs/index.md

    * <a href="https://github.com/ijl/orjson" target="_blank"><code>orjson</code></a> - Obligatoire si vous voulez utiliser `ORJSONResponse`.
    
    Vous pouvez tout installer avec `pip install fastapi[all]`.
    
    ## Licence
    
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  7. docs/em/docs/index.md

    * <a href="https://github.com/ijl/orjson" target="_blank"><code>orjson</code></a> - ✔ 🚥 👆 💚 ⚙️ `ORJSONResponse`.
    
    👆 💪 ❎ 🌐 👫 ⏮️ `pip install "fastapi[all]"`.
    
    ## 🛂
    
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  8. docs/en/docs/tutorial/security/index.md

    In many frameworks and systems just handling security and authentication takes a big amount of effort and code (in many cases it can be 50% or more of all the code written).
    
    **FastAPI** provides several tools to help you deal with **Security** easily, rapidly, in a standard way, without having to study and learn all the security specifications.
    
    But first, let's check some small concepts.
    
    ## In a hurry?
    
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  9. docs/ru/docs/tutorial/index.md

    Первый шаг — установить FastAPI.
    
    Для руководства вы, возможно, захотите установить его со всеми дополнительными зависимостями и функциями:
    
    <div class="termy">
    
    ```console
    $ pip install "fastapi[all]"
    
    ---> 100%
    ```
    
    </div>
    
    ...это также включает `uvicorn`, который вы можете использовать в качестве сервера, который запускает ваш код.
    
    !!! note "Технические детали"
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  10. docs/zh/docs/tutorial/index.md

    在编辑器中使用 FastAPI 会真正地展现出它的优势:只需要编写很少的代码,所有的类型检查,代码补全等等。
    
    ---
    
    ## 安装 FastAPI
    
    第一个步骤是安装 FastAPI。
    
    为了使用本教程,你可能需要安装所有的可选依赖及对应功能:
    
    <div class="termy">
    
    ```console
    $ pip install "fastapi[all]"
    
    ---> 100%
    ```
    
    </div>
    
    ......以上安装还包括了 `uvicorn`,你可以将其用作运行代码的服务器。
    
    !!! note
        你也可以分开来安装。
    
        假如你想将应用程序部署到生产环境,你可能要执行以下操作:
    
        ```
        pip install fastapi
        ```
    
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