<div class="termy">

```console
$ python -m venv .venv
```

</div>

/// details | Was dieser Befehl bedeutet

* `python`: das Programm namens `python` verwenden
* `-m`: ein Modul als Skript aufrufen, wir geben als nächstes an, welches Modul
* `venv`: das Modul namens `venv` verwenden, das normalerweise mit Python installiert wird

```bash
clang-format <my_cc_file> --style=google > /tmp/my_cc_file.cc
diff <my_cc_file> /tmp/my_cc_file.cc
```

#### Python coding style

Changes to TensorFlow Python code should conform to
[Google Python Style Guide](https://github.com/google/styleguide/blob/gh-pages/pyguide.md)

Use `pylint` to check your Python changes. To install `pylint` and check a file
with `pylint` against TensorFlow's custom style definition:

```bash

    // Test getPyFilePath method
    @Test
    public void test_getPyFilePath() {
        pythonJob.filename("test_script.py");

        String expectedPath = "WEB-INF" + File.separator + "env" + File.separator + "python" + File.separator + "resources" + File.separator
                + "test_script.py";
        assertEquals(expectedPath, pythonJob.getPyFilePath());
    }

    // Test getPyFilePath with directory traversal attempt

„Kontextmanager“ (Englisch „Context Manager“) sind bestimmte Python-Objekte, die Sie in einer `with`-Anweisung verwenden können.

Beispielsweise können Sie [„with“ verwenden, um eine Datei auszulesen](https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files):

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Pydantic이 사용하는:

* [`email-validator`](https://github.com/JoshData/python-email-validator) - 이메일 유효성 검사.

Starlette이 사용하는:

* [`httpx`](https://www.python-httpx.org) - `TestClient`를 사용하려면 필요.
* [`jinja2`](https://jinja.palletsprojects.com) - 기본 템플릿 설정을 사용하려면 필요.
* [`python-multipart`](https://github.com/Kludex/python-multipart) - `request.form()`과 함께 form <dfn title="HTTP 요청에서 온 문자열을 파이썬 데이터로 변환">"파싱"</dfn> 지원을 원하면 필요.

그래서 공식 웹사이트에서 말하듯이:

> Requests is one of the most downloaded Python packages of all time

사용 방법은 매우 간단합니다. 예를 들어 `GET` 요청을 하려면 다음처럼 작성합니다:

```Python
response = requests.get("http://example.com/some/url")
```

이에 대응하는 FastAPI의 API *경로 처리*는 다음과 같이 보일 수 있습니다:

```Python hl_lines="1"
@app.get("/some/url")
def read_url():
    return {"message": "Hello World"}
```

그런 경우 Python의 `dict` “unpacking” 기법인 `**dict_to_unpack`을 사용할 수 있습니다:

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

여기서 `new_dict`는 `old_dict`의 모든 키-값 쌍에 더해 새 키-값 쌍까지 포함합니다:

```Python
{
    "old key": "old value",

///

Dem `status_code`-Parameter wird eine Zahl mit dem HTTP-Statuscode übergeben.

/// info | Info

Alternativ kann `status_code` auch ein `IntEnum` erhalten, wie etwa Pythons [`http.HTTPStatus`](https://docs.python.org/3/library/http.html#http.HTTPStatus).

///

Dies wird:

* Diesen Statuscode mit der Response zurücksenden.
* Diesen im OpenAPI-Schema dokumentieren (und somit in den Benutzeroberflächen):

# BEGIN TF TEST SUITE OPTIONS
# These are convenience config options that effectively declare TF's CI test suites. Look
# at the scripts of ci/official/ to see how TF's CI uses them.

# PYTHON TESTS run a suite of Python tests intended for verifying that the Python wheel
# will work properly. These are usually run Nightly or upon Release.
# CPU WHEEL

</div>

////

## Ler Variáveis de Ambiente no Python { #read-env-vars-in-python }

Você também pode criar variáveis de ambiente **fora** do Python, no terminal (ou com qualquer outro método) e depois **lê-las no Python**.

Por exemplo, você poderia ter um arquivo `main.py` com:

```Python hl_lines="3"
import os

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

/// tip | Dica