* **Sin complicaciones**:
    * Sin micro-lenguaje de definición de esquemas nuevo que aprender.
    * 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**:

Then you can give this token to a user directly or a third party, to interact with your API with a set of restrictions.

You can learn how to use them and how they are integrated into **FastAPI** later in the **Advanced User Guide**.

## Recap { #recap }

With what you have seen up to now, you can set up a secure **FastAPI** application using standards like OAuth2 and JWT.

* **Kein Kopfzerbrechen**:
    * Keine neue Schemadefinition-Mikrosprache zu lernen.
    * Wenn Sie Pythons Typen kennen, wissen Sie, wie man Pydantic verwendet.
* Gutes Zusammenspiel mit Ihrer/Ihrem **<abbr title="Integrated Development Environment – Integrierte Entwicklungsumgebung: Ähnlich einem Code-Editor">IDE</abbr>/<abbr title="Ein Programm, das Fehler im Quellcode sucht">Linter</abbr>/Gehirn**:

    * Farklı bir syntax öğrenmenize gerek kalmaz,
    * Eğer Python typelarını nasıl kullanacağını biliyorsan Pydantic kullanmayı da biliyorsundur.
* Kullandığın geliştirme araçları ile iyi çalışır **<abbr title="Integrated Development Environment, kod editörüne benzer">IDE</abbr>/<abbr title="Code errorlarınızı inceleyen program">linter</abbr>/brain**:

All the container management systems (like Docker or Kubernetes) have these networking features integrated into them.

## Containers and Processes { #containers-and-processes }

## 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._"

反之亦然，在很多情況下，你也可以把從資料庫中獲取的物件**直接傳給客戶端**。

通過 **FastAPI** 你可以獲得所有 **Pydantic** 的特性（FastAPI 基於 Pydantic 做了所有的資料處理）：

* **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**：

            intentionally vague and interpretable. It normally refers to permissions,
            in cases to roles.

            These scopes are integrated with OpenAPI (and the API docs at `/docs`).
            So they are visible in the OpenAPI specification.
            )
            """
        ),
    ] = None,
    use_cache: Annotated[
        bool,

/// tip

We are using an invented header to simplify this example.

But in real cases you will get better results using the integrated [Security utilities](security/index.md){.internal-link target=_blank}.

///

## Another module with `APIRouter` { #another-module-with-apirouter }

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is.

Later, for your production application, you might want to use a database server like **PostgreSQL**.

/// tip