```

⏮️ `async def`, 🐍 💭 👈, 🔘 👈 🔢, ⚫️ ✔️ 🤔 `await` 🧬, & 👈 ⚫️ 💪 "⏸" ⏸ 🛠️ 👈 🔢 & 🚶 🕳 🙆 👶 ⏭ 👟 🔙.

🕐❔ 👆 💚 🤙 `async def` 🔢, 👆 ✔️ "⌛" ⚫️. , 👉 🏆 🚫 👷:

```Python
# This won't work, because get_burgers was defined with: async def
burgers = get_burgers(2)
```

---

, 🚥 👆 ⚙️ 🗃 👈 💬 👆 👈 👆 💪 🤙 ⚫️ ⏮️ `await`, 👆 💪 ✍ *➡ 🛠️ 🔢* 👈 ⚙️ ⚫️ ⏮️ `async def`, 💖:

```Python hl_lines="2-3"

So, during that time, the computer can go and do some other work, while "slow-file" 📝 finishes.

Then the computer / program 🤖 will come back every time it has a chance because it's waiting again, or whenever it 🤖 finished all the work it had at that point. And it 🤖 will see if any of the tasks it was waiting for have already finished, doing whatever it had to do.

`async def`를 사용하면, 파이썬은 해당 함수 내에서 `await` 표현에 주의해야한다는 사실과, 해당 함수의 실행을 "일시정지"⏸하고 다시 돌아오기 전까지 다른 작업을 수행🔀할 수 있다는 것을 알게됩니다.

`async def`f 함수를 호출하고자 할 때, "대기"해야합니다. 따라서, 아래는 동작하지 않습니다.

```Python
# This won't work, because get_burgers was defined with: async def
burgers = get_burgers(2)
```

---

따라서, `await`f를 사용해서 호출할 수 있는 라이브러리를 사용한다면, 다음과 같이 `async def`를 사용하는 *경로 작동 함수*를 생성해야 합니다:

```Python hl_lines="2-3"

Nope ! C'est ça la morale de l'histoire.

La concurrence est différente du parallélisme. C'est mieux sur des scénarios **spécifiques** qui impliquent beaucoup d'attente. À cause de ça, c'est généralement bien meilleur que le parallélisme pour le développement d'applications web. Mais pas pour tout.

Donc pour équilibrer tout ça, imaginez l'histoire suivante :

    return burgers
```

使用 `async def`，Python 就知道在该函数中，它将遇上 `await`，并且它可以"暂停" ⏸ 执行该函数，直至执行其他操作 🔀 后回来。

当你想调用一个 `async def` 函数时，你必须"等待"它。因此，这不会起作用：

```Python
# This won't work, because get_burgers was defined with: async def
burgers = get_burgers(2)
```

---

因此，如果您使用的库告诉您可以使用 `await` 调用它，则需要使用 `async def` 创建路径操作函数 ，如：

```Python hl_lines="2-3"
@app.get('/burgers')