...and adapt it with your database data and credentials (equivalently for MySQL, MariaDB or any other).

!!! tip

    This is the main line that you would have to modify if you wanted to use a different database.

### Create the SQLAlchemy `engine`

The first step is to create a SQLAlchemy "engine".

We will later use this `engine` in other places.

```Python hl_lines="8-10"

                * **FastAPI** adds a reference here to the global JSON Schemas in another place in your OpenAPI instead of including it directly. This way, other applications and clients can use those JSON Schemas directly, provide better code generation tools, etc.

The generated responses in the OpenAPI for this *path operation* will be:

```JSON hl_lines="3-12"
{
    "responses": {
        "404": {

### Test edildi

* 100% <abbr title="Kodun ne kadarının test edildiği">test coverage</abbr>.
* 100% <abbr title="Python type annotations, with this your editor and external tools can give you better support">typeları belirtilmiş</abbr> codebase.
* FastAPI ile yapılan bir çok proje insanlar tarafından kullanılıyor.

## Starlette özellikleri

* `float`
* `bool`
* `bytes`

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial005.py!}
```

### Tipos genéricos com parâmetros de tipo

Existem algumas estruturas de dados que podem conter outros valores, como `dict`, `list`, `set` e `tuple`. E os valores internos também podem ter seu próprio tipo.

Para declarar esses tipos e os tipos internos, você pode usar o módulo Python padrão `typing`.

Python will complain if you put a value with a "default" before a value that doesn't have a "default".

But you can re-order them, and have the value without a default (the query parameter `q`) first.

It doesn't matter for **FastAPI**. It will detect the parameters by their names, types and default declarations (`Query`, `Path`, etc), it doesn't care about the order.

So, you can declare your function as:

=== "Python 3.8 non-Annotated"

And we know that editors can't provide a lot of support (like completion) for `dict`s, because they can't know their keys and value types.

We can do better...

## What makes a dependency

Up to now you have seen dependencies declared as functions.

But that's not the only way to declare dependencies (although it would probably be the more common).

    Feel free to skip this.

    Peewee is not recommended with FastAPI as it doesn't play well with anything async Python. There are several better alternatives.

!!! info
    These docs assume Pydantic v1.

    Because Pewee doesn't play well with anything async and there are better alternatives, I won't update these docs for Pydantic v2, they are kept for now only for historical purposes.

Or it might be the case that you just prefer to take other courses because they adapt better to your learning style.

As chaves do `dict` identificam cada exemplo, e cada valor é outro `dict`.

Cada `dict` de exemplo específico em `examples` pode conter:

* `summary`: Pequena descrição do exemplo.
* `description`: Uma descrição longa que pode conter texto em Markdown.
* `value`: O próprio exemplo mostrado, ex: um `dict`.

### Is concurrency better than parallelism?

Nope! That's not the moral of the story.

Concurrency is different than parallelism. And it is better on **specific** scenarios that involve a lot of waiting. Because of that, it generally is a lot better than parallelism for web application development. But not for everything.