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  1. docs/em/docs/tutorial/security/first-steps.md

    {* ../../docs_src/security/tutorial001.py *}
    
    ## 🏃 ⚫️
    
    /// info
    
    🥇 ❎ <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.
    
    🤶 Ⓜ. `pip install python-multipart`.
    
    👉 ↩️ **Oauth2️⃣** ⚙️ "📨 📊" 📨 `username` &amp; `password`.
    
    ///
    
    🏃 🖼 ⏮️:
    
    <div class="termy">
    
    ```console
    $ uvicorn main:app --reload
    
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  2. docs/em/docs/deployment/server-workers.md

    &amp; ⤴️ 🐁-🔗 **Uvicorn 👨‍🏭** 🎓 🔜 🈚 🏭 📊 📨 🐁 🔫 🐩 FastAPI ⚙️ ⚫️.
    
    ## ❎ 🐁 &amp; Uvicorn
    
    <div class="termy">
    
    ```console
    $ pip install "uvicorn[standard]" gunicorn
    
    ---> 100%
    ```
    
    </div>
    
    👈 🔜 ❎ 👯‍♂️ Uvicorn ⏮️ `standard` ➕ 📦 (🤚 ↕ 🎭) &amp; 🐁.
    
    ## 🏃 🐁 ⏮️ Uvicorn 👨‍🏭
    
    ⤴️ 👆 💪 🏃 🐁 ⏮️:
    
    <div class="termy">
    
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  3. docs/fr/docs/deployment/docker.md

    Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :
    
    ```Dockerfile
    FROM python:3.7
    
    RUN pip install fastapi uvicorn
    
    EXPOSE 80
    
    COPY ./app /app
    
    CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
    ```
    
    ## Créer le code **FastAPI**.
    
    * Créer un répertoire `app` et y entrer.
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  4. ci/official/containers/ml_build/builder.devtoolset/build_devtoolset.sh

          --with-default-libstdcxx-abi=${LIBSTDCXX_ABI} \
          --with-gcc-major-version-only \
          --with-linker-hash-style="gnu" \
          --with-tune="generic" \
          && \
        make -j 42 && \
        make install
    
    
    # Create the devtoolset libstdc++ linkerscript that links dynamically against
    # the system libstdc++ 4.4 and provides all other symbols statically.
    case "${VERSION}" in
    devtoolset-7)
    Registered: Tue Sep 09 12:39:10 UTC 2025
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  5. docs/fr/docs/index.md

    * <a href="https://github.com/esnme/ultrajson" target="_blank"><code>ujson</code></a> - Obligatoire si vous souhaitez utiliser `UJSONResponse`.
    
    Vous pouvez tout installer avec `pip install fastapi[all]`.
    
    ## Licence
    
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  6. docs/es/docs/tutorial/query-params-str-validations.md

    {!> ../../docs_src/query_params_str_validations/tutorial002_an_py310.py!}
    ```
    
    ////
    
    //// tab | Python 3.8+
    
    En versiones de Python por debajo de 3.9 importas `Annotated` desde `typing_extensions`.
    
    Ya estará instalado con FastAPI.
    
    ```Python hl_lines="3-4"
    {!> ../../docs_src/query_params_str_validations/tutorial002_an.py!}
    ```
    
    ////
    
    /// info | Información
    
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  7. docs/uk/docs/fastapi-cli.md

    # FastAPI CLI
    
    **FastAPI CLI** це програма командного рядка, яку Ви можете використовувати, щоб обслуговувати Ваш додаток FastAPI, керувати Вашими FastApi проектами, тощо.
    
    Коли Ви встановлюєте FastApi (тобто виконуєте `pip install "fastapi[standard]"`), Ви також встановлюєте пакунок `fastapi-cli`, цей пакунок надає команду `fastapi` в терміналі.
    
    Для запуску Вашого FastAPI проекту для розробки, Ви можете скористатись командою `fastapi dev`:
    
    <div class="termy">
    
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  8. LICENSE

    produce the work, or an object code interpreter used to run it.
    
      The "Corresponding Source" for a work in object code form means all
    the source code needed to generate, install, and (for an executable
    work) run the object code and to modify the work, including scripts to
    control those activities.  However, it does not include the work's
    Registered: Sun Sep 07 19:28:11 UTC 2025
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  9. docs/de/docs/advanced/websockets.md

    ## `WebSockets` installieren
    
    Zuerst müssen Sie `WebSockets` installieren:
    
    <div class="termy">
    
    ```console
    $ pip install websockets
    
    ---> 100%
    ```
    
    </div>
    
    ## WebSockets-Client
    
    ### In Produktion
    
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  10. docs/uk/docs/tutorial/response-model.md

    Переконайтесь, що Ви створили [віртуальне середовище](../virtual-environments.md){.internal-link target=_blank}, активували його, а потім встановили пакет, наприклад:
    
    ```console
    $ pip install email-validator
    ```
    
    or with:
    
    ```console
    $ pip install "pydantic[email]"
    ```
    
    ///
    
    І ми використовуємо цю модель, щоб оголосити і вхідні, і вихідні дані:
    
    {* ../../docs_src/response_model/tutorial002_py310.py hl[16] *}
    
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