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

    <img src="/img/tutorial/body/image05.png">
    
    /// tip
    
    If you use <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> as your editor, you can use the <a href="https://github.com/koxudaxi/pydantic-pycharm-plugin/" class="external-link" target="_blank">Pydantic PyCharm Plugin</a>.
    
    It improves editor support for Pydantic models, with:
    
    * auto-completion
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  2. docs/en/docs/tutorial/response-model.md

    /// tip
    
    If you have strict type checks in your editor, mypy, etc, you can declare the function return type as `Any`.
    
    That way you tell the editor that you are intentionally returning anything. But FastAPI will still do the data documentation, validation, filtering, etc. with the `response_model`.
    
    ///
    
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  3. docs/de/docs/tutorial/body.md

    <img src="/img/tutorial/body/image01.png">
    
    Und werden auch verwendet in der API-Dokumentation innerhalb jeder *Pfadoperation*, welche sie braucht:
    
    <img src="/img/tutorial/body/image02.png">
    
    ## Editor Unterstützung
    
    In Ihrem Editor, innerhalb Ihrer Funktion, erhalten Sie Typhinweise und Code-Vervollständigung überall (was nicht der Fall wäre, wenn Sie ein `dict` anstelle eines Pydantic Modells erhalten hätten):
    
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  4. docs/de/docs/tutorial/body-nested-models.md

    ```Python hl_lines="15"
    {!> ../../docs_src/body_nested_models/tutorial008.py!}
    ```
    
    ////
    
    ## Editor-Unterstützung überall
    
    Und Sie erhalten Editor-Unterstützung überall.
    
    Selbst für Dinge in Listen:
    
    <img src="/img/tutorial/body-nested-models/image01.png">
    
    Sie würden diese Editor-Unterstützung nicht erhalten, wenn Sie direkt mit `dict`, statt mit Pydantic-Modellen arbeiten würden.
    
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  5. docs/pt/docs/tutorial/body.md

    <img src="/img/tutorial/body/image01.png">
    
    E também serão utilizados em cada *função de operação de rota* que utilizá-los:
    
    <img src="/img/tutorial/body/image02.png">
    
    ## Suporte do editor de texto:
    
    No seu editor de texto, dentro da função você receberá dicas de tipos e completação em todo lugar (isso não aconteceria se você recebesse um `dict` em vez de um modelo Pydantic):
    
    <img src="/img/tutorial/body/image03.png">
    
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  6. docs/de/docs/python-types.md

    ///
    
    Auf diese Weise kann Ihr Editor Sie auch bei der Bearbeitung von Einträgen aus der Liste unterstützen:
    
    <img src="/img/python-types/image05.png">
    
    Ohne Typen ist das fast unmöglich zu erreichen.
    
    Beachten Sie, dass die Variable `item` eines der Elemente in der Liste `items` ist.
    
    Und trotzdem weiß der Editor, dass es sich um ein `str` handelt, und bietet entsprechende Unterstützung.
    
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  7. docs/es/docs/python-types.md

    Con esta declaración tu editor puede proveerte soporte inclusive mientras está procesando ítems de la lista.
    
    Sin tipos el auto-completado en este tipo de estructura es casi imposible de lograr:
    
    <img src="https://fastapi.tiangolo.com/img/python-types/image05.png">
    
    Observa que la variable `item` es unos de los elementos en la lista `items`.
    
    El editor aún sabe que es un `str` y provee soporte para ello.
    
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  8. docs/de/docs/tutorial/response-model.md

    /// tip | "Tipp"
    
    Wenn Sie in Ihrem Editor strikte Typchecks haben, mypy, usw., können Sie den Funktions-Rückgabetyp als <abbr title='„Irgend etwas“'>`Any`</abbr> deklarieren.
    
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  9. docs/en/docs/python-types.md

    ///
    
    By doing that, your editor can provide support even while processing items from the list:
    
    <img src="/img/python-types/image05.png">
    
    Without types, that's almost impossible to achieve.
    
    Notice that the variable `item` is one of the elements in the list `items`.
    
    And still, the editor knows it is a `str`, and provides support for that.
    
    #### Tuple and Set
    
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  10. docs/tr/docs/alternatives.md

    Flask, Starlette, Responder ve benzerlerinde bu şekilde çalışıyor.
    
    Fakat sonrasında yine mikro sözdizimi problemiyle karşılaşıyoruz. Python metinlerinin içinde koskoca bir YAML oluyor.
    
    Editör bu konuda pek yardımcı olamaz. Üstelik eğer parametreleri ya da Marshmallow şemalarını değiştirip YAML kodunu güncellemeyi unutursak artık döküman geçerliliğini yitiriyor.
    
    /// info | "Bilgi"
    
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