In this case, it would be better to get **one extra server** and run some processes on it so that they all have **enough RAM and CPU time**.

            unauthorized_headers = {"WWW-Authenticate": f'Basic realm="{self.realm}"'}
        else:
            unauthorized_headers = {"WWW-Authenticate": "Basic"}
        if not authorization or scheme.lower() != "basic":
            if self.auto_error:
                raise HTTPException(
                    status_code=HTTP_401_UNAUTHORIZED,
                    detail="Not authenticated",

        authorization = request.headers.get("Authorization")
        scheme, param = get_authorization_scheme_param(authorization)
        if not authorization or scheme.lower() != "bearer":
            if self.auto_error:
                raise HTTPException(
                    status_code=HTTP_401_UNAUTHORIZED,
                    detail="Not authenticated",

**Przypis**:

Jeżeli nie znasz, sprawdź sekcję _"In a hurry?"_ o <a href="https://fastapi.tiangolo.com/async/#in-a-hurry" target="_blank">`async` i `await` w dokumentacji</a>.

</details>

### Uruchom

Uruchom serwer używając:

<div class="termy">

```console
$ uvicorn main:app --reload

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]

Routes are declared in a single place, using functions declared in other places (instead of using decorators that can be placed right on top of the function that handles the endpoint). This is closer to how Django does it than to how Flask (and Starlette) does it. It separates in the code things that are relatively tightly coupled.

!!! check "Inspired **FastAPI** to"

Mit **FastAPI** bekommen Sie alles von **Starlette** (da FastAPI nur Starlette auf Steroiden ist):

* Schwer beeindruckende Performanz. Es ist <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">eines der schnellsten Python-Frameworks, auf Augenhöhe mit **NodeJS** und **Go**</a>.

* **PGAdmin** для СУБД PostgreSQL, которые легко можно заменить на PHPMyAdmin и MySQL.
* **Flower** для отслеживания работы Celery.
* Балансировка нагрузки между фронтендом и бэкендом с помощью **Traefik**, а значит, Вы можете расположить их на одном домене, разделив url-пути, так как они обслуживаются разными контейнерами.

So, during that time, the computer can go and do some other work, while "slow-file" 📝 finishes.

# Pierwsze kroki

Najprostszy plik FastAPI może wyglądać tak:

```Python
{!../../../docs_src/first_steps/tutorial001.py!}
```

Skopiuj to do pliku `main.py`.

Uruchom serwer:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]

def get_lang_paths() -> List[Path]:
    return sorted(docs_path.iterdir())


def lang_callback(lang: Optional[str]) -> Union[str, None]:
    if lang is None:
        return None
    lang = lang.lower()
    return lang


def complete_existing_lang(incomplete: str):
    lang_path: Path
    for lang_path in get_lang_paths():
        if lang_path.is_dir() and lang_path.name.startswith(incomplete):