* 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.

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。

Then you can try and help them solve those questions.

## Ask Questions

You can <a href="https://github.com/tiangolo/fastapi/discussions/new?category=questions" class="external-link" target="_blank">create a new question</a> in the GitHub repository, for example to:

* Ask a **question** or ask about a **problem**.
* Suggest a new **feature**.

**Note**: if you do it, then I'm going to ask you to also help others. 😉

## Review Pull Requests

Ancak FastAPI olmadan `async` / `await` kullanmak istiyorsanız, <a href="https://docs.python.org/3/library/asyncio-task.html#coroutine" class="external-link" target="_blank">resmi Python belgelerini kontrol edin</a>.

### Asenkron kodun diğer biçimleri

Bu `async` ve `await` kullanimi oldukça yenidir.

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.

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")
def get_sync_async(state: str = Depends(asyncgen_state)):
    return state


@app.get("/sync_sync")

### 당신만의 비동기 코드 작성하기

Starlette(그리고 FastAPI)는 <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>를 기반으로 하고있고, 따라서 파이썬 표준 라이브러리인 <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> 및 <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>와 호환됩니다.

## Context Managers

### What are "Context Managers"