```Python hl_lines="1  3  12-16"
{!> ../../docs_src/extra_data_types/tutorial001.py!}
```

////

//// tab | Python 3.10 и выше

```Python hl_lines="1  2  11-15"
{!> ../../docs_src/extra_data_types/tutorial001_py310.py!}
```

////

Обратите внимание, что параметры внутри функции имеют свой естественный тип данных, и вы, например, можете выполнять обычные манипуляции с датами, такие как:

//// tab | Python 3.8 и выше

```

////

//// tab | Python 3.10+ Annotated가 없는 경우

/// tip | "팁"

가능하다면 `Annotated`가 달린 버전을 권장합니다.

///

```Python hl_lines="1"
{!> ../../docs_src/cookie_params/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+ Annotated가 없는 경우

/// tip | "팁"

가능하다면 `Annotated`가 달린 버전을 권장합니다.

///

```Python hl_lines="3"
{!> ../../docs_src/cookie_params/tutorial001.py!}

```

////

//// tab | Python 3.10+ non-Annotated

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="6-7"
{!> ../../docs_src/dependencies/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+ non-Annotated

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="8-11"

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.additional_status_codes.tutorial001_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_update(client: TestClient):
    response = client.put("/items/foo", json={"name": "Wrestlers"})
    assert response.status_code == 200, response.text

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

👉 🖼, ⚫️ 🔜 🗜 Pydantic 🏷 `dict`, & `datetime` `str`.

## Определение полей содержащих списки

Вы можете определять атрибут как подтип. Например, тип `list` в Python:

//// tab | Python 3.10+

```Python hl_lines="12"
{!> ../../docs_src/body_nested_models/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="14"
{!> ../../docs_src/body_nested_models/tutorial001.py!}
```

////

## List fields

You can define an attribute to be a subtype. For example, a Python `list`:

//// tab | Python 3.10+

```Python hl_lines="12"
{!> ../../docs_src/body_nested_models/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="14"
{!> ../../docs_src/body_nested_models/tutorial001.py!}
```

////

////

//// tab | Python 3.10+ без Annotated

/// tip | "Подсказка"

Рекомендуется использовать версию с `Annotated` если возможно.

///

```Python hl_lines="7"
{!> ../../docs_src/dependencies/tutorial001_py310.py!}
```

////

//// tab | Python 3.6+ без Annotated

/// tip | "Подсказка"

Рекомендуется использовать версию с `Annotated` если возможно.

///

```Python hl_lines="11"

You can use `jsonable_encoder` for that.

It receives an object, like a Pydantic model, and returns a JSON compatible version:

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

A função recebe um objeto, como um modelo Pydantic e retorna uma versão compatível com JSON:

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////