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  1. docs/en/docs/python-types.md

        As the list is a type that contains some internal types, you put them in square brackets:
    
        ```Python hl_lines="4"
        {!> ../../../docs_src/python_types/tutorial006.py!}
        ```
    
    !!! info
        Those internal types in the square brackets are called "type parameters".
    
        In this case, `str` is the type parameter passed to `List` (or `list` in Python 3.9 and above).
    
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  2. docs/pt/docs/contributing.md

    <div class="termy">
    
    ```console
    $ python -m venv env
    ```
    
    </div>
    
    Isso criará o diretório `./env/` com os binários Python e então você será capaz de instalar pacotes nesse ambiente isolado.
    
    ### Ativar o ambiente
    
    Ative o novo ambiente com:
    
    === "Linux, macOS"
    
        <div class="termy">
    
        ```console
        $ source ./env/bin/activate
        ```
    
        </div>
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  3. docs/en/docs/release-notes.md

    * ✏ Fix typos in Deployment Guide. PR [#3975](https://github.com/tiangolo/fastapi/pull/3975) by [@ghandic](https://github.com/ghandic).
    * 📝 Update docs with pip install calls when using extras with brackets, use quotes for compatibility with Zsh. PR [#3131](https://github.com/tiangolo/fastapi/pull/3131) by [@tomwei7](https://github.com/tomwei7).
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  4. docs/en/docs/tutorial/body-nested-models.md

    * If you are in a Python version lower than 3.9, import their equivalent version from the `typing` module
    * Pass the internal type(s) as "type parameters" using square brackets: `[` and `]`
    
    In Python 3.9 it would be:
    
    ```Python
    my_list: list[str]
    ```
    
    In versions of Python before 3.9, it would be:
    
    ```Python
    from typing import List
    
    my_list: List[str]
    ```
    
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  5. docs/fr/docs/contributing.md

    <div class="termy">
    
    ```console
    $ python -m venv env
    ```
    
    </div>
    
    Cela va créer un répertoire `./env/` avec les binaires Python et vous pourrez alors installer des paquets pour cet environnement isolé.
    
    ### Activer l'environnement
    
    Activez le nouvel environnement avec :
    
    === "Linux, macOS"
    
        <div class="termy">
    
        ```console
        $ source ./env/bin/activate
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  6. fastapi/applications.py

                    to the location where the OpenAPI document is being served. Variable
                    substitutions will be made when a variable is named in `{`brackets`}`.
                    * `description`: An optional string describing the host designated by
                    the URL. [CommonMark syntax](https://commonmark.org/) MAY be used for
                    rich text representation.
    Python
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  7. docs/pt/docs/alternatives.md

    Requests tem um projeto muito simples e intuitivo, fácil de usar, com padrões sensíveis. Mas ao mesmo tempo, é muito poderoso e customizável.
    
    É por isso que, como dito no site oficial:
    
    > Requests é um dos pacotes Python mais baixados de todos os tempos
    
    O jeito de usar é muito simples. Por exemplo, para fazer uma requisição `GET`, você deveria escrever:
    
    ```Python
    response = requests.get("http://example.com/some/url")
    ```
    
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  8. docs/pt/docs/deployment/docker.md

        !!! note
            `--no-cache-dir` é apenas relacionado ao `pip`, não tem nada a ver com Docker ou contêineres.
    
        A opção `--upgrade` diz ao `pip` para atualizar os pacotes se eles já estiverem instalados.
    
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  9. docs/de/docs/deployment/docker.md

    4. Installiere die Paketabhängigkeiten aus der Anforderungsdatei.
    
        Die Option `--no-cache-dir` weist `pip` an, die heruntergeladenen Pakete nicht lokal zu speichern, da dies nur benötigt wird, sollte `pip` erneut ausgeführt werden, um dieselben Pakete zu installieren, aber das ist beim Arbeiten mit Containern nicht der Fall.
    
        !!! note "Hinweis"
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