:

```Python
q: Union[str, None] = Query(default=None)
```

...⚒ 🔢 📦, 🎏:

```Python
q: Union[str, None] = None
```

& 🐍 3️⃣.1️⃣0️⃣ & 🔛:

```Python
q: str | None = Query(default=None)
```

...⚒ 🔢 📦, 🎏:

```Python
q: str | None = None
```

✋️ ⚫️ 📣 ⚫️ 🎯 💆‍♂ 🔢 🔢.

/// info

The result of calling it is something that can be encoded with the Python standard <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

It doesn't return a large `str` containing the data in JSON format (as a string). It returns a Python standard data structure (e.g. a `dict`) with values and sub-values that are all compatible with JSON.

/// note

O resultado de chamar a função é algo que pode ser codificado com o padrão do Python <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

A função não retorna um grande `str` contendo os dados no formato JSON (como uma string). Mas sim, retorna uma estrutura de dados padrão do Python (por exemplo, um `dict`) com valores e subvalores compatíveis com JSON.

/// note | Nota

load(
    "//tensorflow/python/tools/api/generator:api_gen.bzl",
    "get_compat_files",
    "get_nested_compat_files",
)
load(
    "//tensorflow/python/tools/api/generator:api_init_files.bzl",
    "TENSORFLOW_API_INIT_FILES",
)
load(
    "//tensorflow/python/tools/api/generator:api_init_files_v1.bzl",
    "TENSORFLOW_API_INIT_FILES_V1",
)

আপনি সেটি আধুনিক পাইথনের সাথে করেন।

আপনাকে নতুন করে নির্দিষ্ট কোন লাইব্রেরির বাক্য গঠন, ফাংশন বা ক্লাস কিছুই শিখতে হচ্ছে না।

শুধুই আধুনিক **Python 3.6+**

উদাহরণস্বরূপ, `int` এর জন্য:

```Python
item_id: int
```

অথবা আরও জটিল `Item` মডেলের জন্য:

```Python
item: Item
```

...এবং সেই একই ঘোষণার সাথে আপনি পাবেন:

- এডিটর সাহায্য, যেমন
  - সমাপ্তি।
  - ধরণ যাচাই

/// info | Información

Para usar formularios, primero instala <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Asegúrate de crear un [entorno virtual](../virtual-environments.md){.internal-link target=_blank}, activarlo, y luego instalarlo, por ejemplo:

```console
$ pip install python-multipart
```

///

/// note | Nota

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.