```bash
        python -c "import pydantic; print(pydantic.version.VERSION)"
        ```
    validations:
      required: true
  - type: input
    id: python-version
    attributes:
      label: Python Version
      description: |
        What Python version are you using?

        You can find the Python version with:

        ```bash
        python --version

Así que, si creamos un objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

y luego llamamos a:

```Python
user_dict = user_in.dict()
```

ahora tenemos un `dict` con los datos en la variable `user_dict` (es un `dict` en lugar de un objeto modelo Pydantic).

Y si llamamos a:

```Python
print(user_dict)
```

<div class="termy">

```console
$ which python

/home/user/code/awesome-project/.venv/bin/python
```

</div>

Nếu nó hiển thị `python` binary tại `.venv/bin/python`, trong dự án của bạn (trong trường hợp `awesome-project`), thì tức là nó hoạt động. 🎉

////

//// tab | Windows PowerShell

<div class="termy">

```console
$ Get-Command python

* `Annotated` von `typing` (oder von `typing_extensions` in Python unter 3.9)

//// tab | Python 3.10+

In Python 3.9 oder darüber, ist `Annotated` Teil der Standardbibliothek, also können Sie es von `typing` importieren.

```Python hl_lines="1  3"
{!> ../../docs_src/query_params_str_validations/tutorial002_an_py310.py!}
```

////

//// tab | Python 3.8+

In Versionen unter Python 3.9 importieren Sie `Annotated` von `typing_extensions`.

## Managing hermetic Python

To make sure that TensorFlow's build is reproducible, behaves uniformly across
supported platforms (Linux, Windows, MacOS) and is properly isolated from
specifics of a local system, we rely on hermetic Python (see
[rules_python](https://github.com/bazelbuild/rules_python)) for all build
and test commands executed via Bazel. This means that your system Python
installation will be ignored during the build and Python interpreter itself

Aber eine Variable wie `user-agent` ist in Python nicht gültig.

Darum wird `Header` standardmäßig in Parameternamen den Unterstrich (`_`) zu einem Bindestrich (`-`) konvertieren.

HTTP-Header sind außerdem unabhängig von Groß-/Kleinschreibung, darum können Sie sie mittels der Standard-Python-Schreibweise deklarieren (auch bekannt als "snake_case").

</div>

////

### Lendo variáveis de ambiente com Python

Você também pode criar variáveis de ambiente fora do Python, no terminal (ou com qualquer outro método), e realizar a leitura delas no Python.

Por exemplo, você pode definir um arquivo `main.py` com o seguinte código:

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")
print(f"Hello {name} from Python")
```

/// tip | Dica

      - uses: actions/checkout@v5
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.10"
      - name: Install build dependencies
        run: pip install build
      - name: Build source distribution
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
        run: python -m build --sdist
      - name: Decompress source distribution
        run: |

Ahora utilizaremos una dependencia simple para leer un encabezado `X-Token` personalizado:

//// tab | Python 3.9+

```Python hl_lines="3  6-8" title="app/dependencies.py"
{!> ../../docs_src/bigger_applications/app_an_py39/dependencies.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="1  5-7" title="app/dependencies.py"
{!> ../../docs_src/bigger_applications/app_an/dependencies.py!}
```

```
.
├── app                  # "app" é um pacote Python
│   ├── __init__.py      # este arquivo torna "app" um "pacote Python"
│   ├── main.py          # "main" módulo, e.g. import app.main
│   ├── dependencies.py  # "dependencies" módulo, e.g. import app.dependencies
│   └── routers          # "routers" é um  "subpacote Python"
│   │   ├── __init__.py  # torna "routers" um "subpacote Python"