### Just Modern Python { #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

C:\Users\user\code\awesome-project\.venv\Scripts
```

そのため、ターミナルで `python` と入力した際に、OSはPythonプログラムを以下のパスで発見し、使用します。

```plaintext
C:\Users\user\code\awesome-project\.venv\Scripts\python
```

////

重要な点は、仮想環境のパスを `PATH` 変数の**先頭**に配置することです。OSは利用可能な他のPythonを見つけるより**前に**、この仮想環境のPythonを見つけるようになります。このようにして、 `python` を実行したときに、他の `python` （例えばグローバル環境の `python` ）ではなく、**その仮想環境の**Pythonを使用するようになります。

仮想環境を有効にして変更されることは他にもありますが、これが最も重要な変更のひとつです。

      matrix:
        os: [ windows-latest, macos-latest ]
        python-version: [ "3.14" ]
        include:
          - os: ubuntu-latest
            python-version: "3.9"
            coverage: coverage
          - os: macos-latest
            python-version: "3.10"
            coverage: coverage
          - os: windows-latest
            python-version: "3.12"
            coverage: coverage
          - os: ubuntu-latest

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Solo Python moderno { #just-modern-python }

Todo está basado en declaraciones estándar de **tipos en Python** (gracias a Pydantic). Sin nueva sintaxis que aprender. Solo Python moderno estándar.

Si necesitas un repaso de 2 minutos sobre cómo usar tipos en Python (aunque no uses FastAPI), revisa el tutorial corto: [Tipos en Python](python-types.md){.internal-link target=_blank}.

そこで、以下のようなPydanticオブジェクト`user_in`を作成すると:

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

そして呼び出すと:

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

これで変数`user_dict`のデータを持つ`dict`ができました。（これはPydanticモデルのオブジェクトの代わりに`dict`です）。

そして呼び出すと:

```Python
print(user_dict)
```

以下のようなPythonの`dict`を得ることができます:

```Python
{
    'username': 'john',

### Apenas Python moderno { #just-modern-python }

Tudo é baseado no padrão das declarações de **tipos do Python** (graças ao Pydantic). Nenhuma sintaxe nova para aprender. Apenas o padrão moderno do Python.

Se você precisa refrescar a memória rapidamente sobre como usar tipos do Python (mesmo que você não use o FastAPI), confira esse rápido tutorial: [Tipos do Python](python-types.md){.internal-link target=_blank}.

<div class="termy">

```console
$ which python

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

</div>

If it shows the `python` binary at `.venv/bin/python`, inside of your project (in this case `awesome-project`), then it worked. 🎉

////

//// tab | Windows PowerShell

<div class="termy">

```console
$ Get-Command python

So, if we create a Pydantic object `user_in` like:

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

and then we call:

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

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

## 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

# pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top
from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
from tensorflow.python.tools import module_util as _module_util
from tensorflow.python.platform import tf_logging as _logging
from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# API IMPORTS PLACEHOLDER