So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

    'ignore:datetime\.datetime\.utcfromtimestamp\(\) is deprecated and scheduled for removal in a future version\..*:DeprecationWarning:sqlalchemy',
    # TODO: remove after upgrading python-jose to a version that explicitly supports Python 3.12
    # also, if it won't receive an update, consider replacing python-jose with some alternative
    # related issues:
    #   - https://github.com/mpdavis/python-jose/issues/332

But if you want to directly use **Trio**, then you can use **Hypercorn** as it supports it. ✨

### Install Hypercorn with Trio

First you need to install Hypercorn with Trio support:

<div class="termy">

```console
$ pip install "hypercorn[trio]"
---> 100%
```

</div>

### Run with Trio

## Install `passlib`

PassLib is a great Python package to handle password hashes.

It supports many secure hashing algorithms and utilities to work with them.

The recommended algorithm is "Bcrypt".

So, install PassLib with Bcrypt:

<div class="termy">

```console
$ pip install "passlib[bcrypt]"

# Dependencies with yield

FastAPI supports dependencies that do some <abbr title='sometimes also called "exit code", "cleanup code", "teardown code", "closing code", "context manager exit code", etc.'>extra steps after finishing</abbr>.

To do this, use `yield` instead of `return`, and write the extra steps (code) after.

!!! tip
    Make sure to use `yield` one single time.

!!! note "Technical Details"
    Any function that is valid to use with:

🚨 This is probably the last release (or one of the last releases) to support Python 3.6. 🔥

Python 3.6 reached the [end-of-life and is no longer supported by Python](https://www.python.org/downloads/release/python-3615/) since around a year ago.

You hopefully updated to a supported version of Python a while ago. If you haven't, you really should.

### Features

It is compatible with:

* PostgreSQL
* MySQL
* SQLite

In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is.

Later, for your production application, you might want to use a database server like **PostgreSQL**.

!!! tip

# Python Types Intro

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

!!! note
    Você só pode usar `await` dentro de funções criadas com `async def`.

---

Se você está usando biblioteca de terceiros que se comunica com alguma coisa (um banco de dados, uma API, sistema de arquivos etc) e não tem suporte para utilizar `await` (esse é atualmente o caso para a maioria das bibliotecas de banco de dados), então declare suas *funções de operação de rota* normalmente, com apenas `def`, como:

```Python hl_lines="2"
@app.get('/')

エディターがどのように役立つかを以下に示します:

* <a href="https://code.visualstudio.com/" class="external-link" target="_blank">Visual Studio Code</a>の場合:

![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)

* <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>の場合:

![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)

以前は不可能だと考えていたコードでさえ補完されます。例えば、リクエストからのJSONボディ（ネストされている可能性がある）内の `price`キーです。