//// tab | Python 3.10+

```Python hl_lines="16  21"
{!> ../../docs_src/response_model/tutorial001_01_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="18  23"
{!> ../../docs_src/response_model/tutorial001_01_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="18  23"
{!> ../../docs_src/response_model/tutorial001_01.py!}

Você receberá todos os valores do cabeçalho duplicado como uma `list` Python.

Por exemplo, para declarar um cabeçalho de `X-Token` que pode aparecer mais de uma vez, você pode escrever:

//// tab | Python 3.10+

```Python hl_lines="7"
{!> ../../docs_src/header_params/tutorial003_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="9"
{!> ../../docs_src/header_params/tutorial003_py39.py!}

### Just Modern Python

It's all based on standard **Python type** declarations (thanks to Pydantic). No new syntax to learn. Just standard modern Python.

If you need a 2 minute refresher of how to use Python types (even if you don't use FastAPI), check the short tutorial: [Python Types](python-types.md){.internal-link target=_blank}.

You write standard Python with types:

```Python
from datetime import date

Copy the example in a file `main.py`:

//// tab | Python 3.9+

```Python
{!> ../../docs_src/security/tutorial001_an_py39.py!}
```

////

//// tab | Python 3.8+

```Python
{!> ../../docs_src/security/tutorial001_an.py!}
```

////

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

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python
{!> ../../docs_src/security/tutorial001.py!}

```
.
├── app                  # "app" is a Python package
│   ├── __init__.py      # this file makes "app" a "Python package"
│   ├── main.py          # "main" module, e.g. import app.main
│   ├── dependencies.py  # "dependencies" module, e.g. import app.dependencies
│   └── routers          # "routers" is a "Python subpackage"
│   │   ├── __init__.py  # makes "routers" a "Python subpackage"

permissions:
  contents: read

jobs:
  docker:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: [python3.9, python3.10, python3.11, python3.12]
    steps:
      - name: Delete unnecessary tools folder
        run: rm -rf /opt/hostedtoolcache
      -
        name: Checkout

//// tab | Python 3.10+

```Python hl_lines="19"
{!> ../../docs_src/separate_openapi_schemas/tutorial001_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="21"
{!> ../../docs_src/separate_openapi_schemas/tutorial001_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="21"

## `Field` importieren

Importieren Sie es zuerst:

//// tab | Python 3.10+

```Python hl_lines="4"
{!> ../../docs_src/body_fields/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="4"
{!> ../../docs_src/body_fields/tutorial001_an_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="4"
{!> ../../docs_src/body_fields/tutorial001_an.py!}
```

## Импорт `Cookie`

Сначала импортируйте `Cookie`:

//// tab | Python 3.10+

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

////

//// tab | Python 3.8+

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

////

## Объявление параметров `Cookie`

## 分步概括

### 步骤 1：导入 `FastAPI`

```Python hl_lines="1"
{!../../docs_src/first_steps/tutorial001.py!}
```

`FastAPI` 是一个为你的 API 提供了所有功能的 Python 类。

/// note | "技术细节"

`FastAPI` 是直接从 `Starlette` 继承的类。

你可以通过 `FastAPI` 使用所有的 Starlette 的功能。

///

### 步骤 2：创建一个 `FastAPI`「实例」

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