這一點，再加上 Python 是 **資料科學**、機器學習，尤其是深度學習的主要語言，讓 **FastAPI** 成為資料科學/機器學習 Web API 和應用程式（以及許多其他應用程式）的絕佳選擇。

想了解如何在生產環境中實現這種平行性，請參見 [部屬](deployment/index.md){.internal-link target=_blank}。

## `async` 和 `await`

現代 Python 版本提供一種非常直觀的方式定義非同步程式碼。這使得它看起來就像正常的「順序」程式碼，並在適當的時機「等待」。

當某個操作需要等待才能回傳結果，並且支援這些新的 Python 特性時，你可以像這樣編寫程式碼：

```Python
burgers = await get_burgers(2)
```

اگر به یک یادآوری ۲ دقیقه ای در مورد نحوه استفاده از تایپ های پایتون دارید (حتی اگر از FastAPI استفاده نمیکنید) این آموزش کوتاه را بررسی کنید: [Python Types](python-types.md){.internal-link target=\_blank}.

شما پایتون استاندارد را با استفاده از تایپ ها مینویسید:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function

## ❎ `python-jose`

👥 💪 ❎ `python-jose` 🏗 & ✔ 🥙 🤝 🐍:

<div class="termy">

```console
$ pip install "python-jose[cryptography]"

---> 100%
```

</div>

<a href="https://github.com/mpdavis/python-jose" class="external-link" target="_blank">🐍-🇩🇬</a> 🚚 🔐 👩‍💻 ➕.

## Run it { #run-it }

/// info

The <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a> package is automatically installed with **FastAPI** when you run the `pip install "fastapi[standard]"` command.

However, if you use the `pip install fastapi` command, the `python-multipart` package is not included by default.

- name: full-stack-fastapi-template
  html_url: https://github.com/fastapi/full-stack-fastapi-template
  stars: 37341
  owner_login: fastapi
  owner_html_url: https://github.com/fastapi
- name: Hello-Python
  html_url: https://github.com/mouredev/Hello-Python
  stars: 31799
  owner_login: mouredev
  owner_html_url: https://github.com/mouredev
- name: serve
  html_url: https://github.com/jina-ai/serve
  stars: 21721
  owner_login: jina-ai

* declare the path parameter `item_id` using `Path`
* have them in a different order
* not use `Annotated`

...Python has a little special syntax for that.

Pass `*`, as the first parameter of the function.

⤴️ 🐍 📟 👆 🈸 🔜 🌓 🕳 💖:

```Python
if "johndoe" == "stanleyjobson" and "love123" == "swordfish":
    ...
```

✋️ ▶️️ 🙍 🐍 🔬 🥇 `j` `johndoe` 🥇 `s` `stanleyjobson`, ⚫️ 🔜 📨 `False`, ↩️ ⚫️ ⏪ 💭 👈 📚 2️⃣ 🎻 🚫 🎏, 💭 👈 "📤 🙅‍♂ 💪 🗑 🌅 📊 ⚖ 🎂 🔤". & 👆 🈸 🔜 💬 "❌ 👩‍💻 ⚖️ 🔐".

✋️ ⤴️ 👊 🔄 ⏮️ 🆔 `stanleyjobsox` & 🔐 `love123`.

& 👆 🈸 📟 🔨 🕳 💖:

```Python

따라서, 만약 당신이 `something`(함수가 아닐 수도 있음) 객체를 가지고 있고,

```Python
something()
```

또는

```Python
something(some_argument, some_keyword_argument="foo")
```

상기와 같은 방식으로 "호출(실행)" 할 수 있다면 "호출 가능"이 됩니다.

## 의존성으로서의 클래스

파이썬 클래스의 인스턴스를 생성하기 위해 사용하는 것과 동일한 문법을 사용한다는 걸 알 수 있습니다.

예를 들어:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name

Eu testei várias ideias nos editores Python mais populares: PyCharm, VS Code, e editores baseados no Jedi.

Pela última <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Pesquisa do Desenvolvedor Python</a>, isso cobre cerca de 80% dos usuários.

Probé varias ideas en los editores de Python más populares: PyCharm, VS Code, editores basados en Jedi.

Según la última <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Encuesta de Desarrolladores de Python</a>, estos editores cubren alrededor del 80% de los usuarios.