It's called "asynchronous" because the computer / program doesn't have to be "synchronized" with the slow task, waiting for the exact moment that the task finishes, while doing nothing, to be able to take the task result and continue the work.

    operation ->> client: Return response to client
    Note over client,operation: Response is already sent, can't change it anymore
    opt Tasks
        operation -->> tasks: Send background tasks
    end
    opt Raise other exception
        tasks -->> tasks: Handle exceptions in the background task code
    end
```

!!! info

* There can be **multiple processes** of the **same program** running at the same time.

If you check out the "task manager" or "system monitor" (or similar tools) in your operating system, you will be able to see many of those processes running.

    raise OtherDependencyError()


@app.get("/context_b_bg")
async def get_context_b_bg(tasks: BackgroundTasks, state: dict = Depends(context_b)):
    async def bg(state: dict):
        state["bg"] = f"bg set - b: {state['context_b']} - a: {state['context_a']}"

    tasks.add_task(bg, state)
    return state


# Sync versions


@app.get("/sync_async")

Mas se você quiser usar `async` / `await` sem FastAPI, <a href="https://docs.python.org/3/library/asyncio-task.html#coroutine" class="external-link" target="_blank">verifique a documentação oficial Python</a>.

### Outras formas de código assíncrono

Esse estilo de usar `async` e `await` é relativamente novo na linguagem.

Mais si vous utilisez `async` / `await` sans **FastAPI**, <a href="https://docs.python.org/3/library/asyncio-task.html#coroutine" class="external-link" target="_blank">allez jetez un coup d'oeil à la documentation officielle de Python</a>.

### Autres formes de code asynchrone

では、このニワトリと卵の問題について、最初の `async` 関数をどのように呼び出すのでしょうか？

**FastAPI**を使用している場合、その「最初の」関数が*path operation 関数*であり、FastAPIが正しく実行する方法を知っているので、心配する必要はありません。

しかし、FastAPI以外で `async` / `await` を使用したい場合は、<a href="https://docs.python.org/3/library/asyncio-task.html#coroutine" class="external-link" target="_blank">公式Pythonドキュメントを参照して下さい</a>。

### 非同期コードの他の形式

`async` と `await` を使用するスタイルは、この言語では比較的新しいものです。

非同期コードの操作がはるかに簡単になります。

* Hỗ trợ **WebSocket**.
* In-process background tasks.
* Startup and shutdown events.
* Client cho kiểm thử xây dựng trên HTTPX.
* **CORS**, GZip, Static Files, Streaming responses.
* Hỗ trợ **Session and Cookie**.
* 100% test coverage.
* 100% type annotated codebase.

### Podsumowanie

Podsumowując, musiałeś zadeklarować typy parametrów, treści żądania (body) itp. tylko **raz**, i są one dostępne jako parametry funkcji.

Robisz to tak samo jak ze standardowymi typami w Pythonie.

Nie musisz sie uczyć żadnej nowej składni, metod lub klas ze specyficznych bibliotek itp.

Po prostu standardowy **Python**.

Na przykład, dla danych typu `int`:

It is very simple and intuitive. It's designed to be easily extensible, and have modular components.

It has:

* Seriously impressive performance.
* WebSocket support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.
* CORS, GZip, Static Files, Streaming responses.
* Session and Cookie support.
* 100% test coverage.
* 100% type annotated codebase.