---

**FastAPI** doesn't make any compromise with any database, data model or tool.

It gives you all the flexibility to choose the ones that fit your project the best.

And you can use directly many well maintained and widely used packages like `passlib` and `python-jose`, because **FastAPI** doesn't require any complex mechanisms to integrate external packages.

    * Ha nem akkor látni fogunk egy tiszta hibát ezzel kapcsolatban.
* ellenőrzi hogyha van egy opcionális query paraméter `q` névvel (azaz `http://127.0.0.1:8000/items/foo?q=somequery`) `GET` kérések esetén.
    * Mivel a `q` paraméter `= None`-al van deklarálva, ezért opcionális.
    * `None` nélkül ez a mező kötelező lenne (mint például a body `PUT` kérések esetén).

```Python hl_lines="16"
{!../../../docs_src/path_params/tutorial005.py!}
```

### Check the docs

Because the available values for the *path parameter* are predefined, the interactive docs can show them nicely:

<img src="/img/tutorial/path-params/image03.png">

### Working with Python *enumerations*

The value of the *path parameter* will be an *enumeration member*.

#### Compare *enumeration members*

## Previous tools

### <a href="https://www.djangoproject.com/" class="external-link" target="_blank">Django</a>

It's the most popular Python framework and is widely trusted. It is used to build systems like Instagram.

    You don't necessarily need OAuth2 scopes, and you can handle authentication and authorization however you want.

    But OAuth2 with scopes can be nicely integrated into your API (with OpenAPI) and your API docs.

    Nevertheless, you still enforce those scopes, or any other security/authorization requirement, however you need, in your code.

* **No brainfuck**:
    * No new schema definition micro-language to learn.
    * If you know Python types you know how to use Pydantic.
* Plays nicely with your **<abbr title="Integrated Development Environment, similar to a code editor">IDE</abbr>/<abbr title="A program that checks for code errors">linter</abbr>/brain**:

Ese tipo de asincronía es lo que hizo popular a NodeJS (aunque NodeJS no es paralelo) y esa es la fortaleza de Go como lenguaje de programación.

Y ese es el mismo nivel de rendimiento que obtienes con **FastAPI**.

        or hasattr(origin, "__get_pydantic_core_schema__")
    )


def field_annotation_is_scalar(annotation: Any) -> bool:
    # handle Ellipsis here to make tuple[int, ...] work nicely
    return annotation is Ellipsis or not field_annotation_is_complex(annotation)


def field_annotation_is_scalar_sequence(annotation: Union[Type[Any], None]) -> bool:
    origin = get_origin(annotation)