- name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v5
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v6
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |

:

```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

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

- 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

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.