* Si conoces los tipos en Python sabes cómo usar Pydantic.
* Se lleva bien con tu **<abbr title="Integrated Development Environment – Entorno de Desarrollo Integrado: similar a un editor de código">IDE</abbr>/<abbr title="Un programa que verifica errores de código">linter</abbr>/cerebro**:

* **更簡單**：
    * 不需要學習新的 micro-language 來定義結構。
    * 如果你知道 Python 型別，你就知道如何使用 Pydantic。
* 和你的 **<abbr title="Integrated Development Environment，和程式碼編輯器類似">IDE</abbr>/<abbr title="一個檢查程式碼錯誤的工具">linter</abbr>/brain** 都能好好配合：
    * 因為 Pydantic 的資料結構其實就是你自己定義的類別實例，所以自動補齊、linting、mypy 以及你的直覺都能很好地在經過驗證的資料上發揮作用。
* 驗證**複雜結構**：

### Utilizando gerenciadores de contexto em dependências com `yield` { #using-context-managers-in-dependencies-with-yield }

/// warning | Atenção

Isso é uma ideia mais ou menos "avançada".

Se você está apenas iniciando com o **FastAPI** você pode querer pular isso por enquanto.

///

Wenn Sie es eilig haben und keine Datei verwenden möchten, um die Paketanforderungen Ihres Projekts zu deklarieren, können Sie sie direkt installieren.

/// tip | Tipp

Es ist eine (sehr) gute Idee, die Pakete und Versionen, die Ihr Programm benötigt, in einer Datei zu speichern (zum Beispiel `requirements.txt` oder `pyproject.toml`).

///

//// tab | `pip`

<div class="termy">

```console

Kullanımı çok kolay ve sezgisel, kolaylıkla genişletilebilecek ve modüler bileşenlere sahip olacak şekilde tasarlandı.

Sahip olduğu bir kaç özellik:

* Cidden etkileyici bir performans.
* WebSocket desteği.

### Avoiding permanent beta

From Kubernetes 1.20 onwards, SIG Architecture will implement a new policy to transition all REST APIs out of beta within nine months. The idea behind the new policy is to avoid features staying in beta for a long time. Once a new API enters beta, it will have nine months to either:

 - reach GA, and deprecate the beta, or

    --hash=sha256:fb267ce4b83f9c42560e9ff4d30f60f7ae492eacf9c7ede849edf8c1b860e16b
    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   keras-nightly
idna==3.10 \
    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
    # via requests
jax==0.4.7 \

    --hash=sha256:fb267ce4b83f9c42560e9ff4d30f60f7ae492eacf9c7ede849edf8c1b860e16b
    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   keras-nightly
idna==3.10 \
    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
    # via requests
jax==0.4.7 \

    --hash=sha256:fb267ce4b83f9c42560e9ff4d30f60f7ae492eacf9c7ede849edf8c1b860e16b
    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   keras-nightly
idna==3.10 \
    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
    # via requests
importlib-metadata==8.6.1 \

Esto se puede usar como un atajo rápido si solo tienes un modelo de Pydantic y quieres eliminar algunos datos de la salida.

/// tip | Consejo

Pero todavía se recomienda usar las ideas anteriores, usando múltiples clases, en lugar de estos parámetros.