They have proven to be **FastAPI Experts** by helping many others. ✨

!!! tip
    You could become an official FastAPI Expert too!

    Just [help others with questions in GitHub](help-fastapi.md#help-others-with-questions-in-github){.internal-link target=_blank}. 🤓

You can see the **FastAPI Experts** for:

    ```Python
    from app.routers import items, users
    ```

    To learn more about Python Packages and Modules, read <a href="https://docs.python.org/3/tutorial/modules.html" class="external-link" target="_blank">the official Python documentation about Modules</a>.

### Avoid name collisions

We are importing the submodule `items` directly, instead of importing just its variable `router`.

And you get all the editor support with that resulting object.

An example from the official Pydantic docs:

=== "Python 3.10+"

    ```Python
    {!> ../../../docs_src/python_types/tutorial011_py310.py!}
    ```

=== "Python 3.9+"

    ```Python

No caso do Espanhol, o código de duas letras é `es`. Então, o diretório para traduções em Espanhol está localizada em `docs/es/`.

!!! tip
    A principal ("oficial") linguagem é o  Inglês, localizado em `docs/en/`.

Agora rode o _servidor ao vivo_ para as documentações em Espanhol:

<div class="termy">

```console

Mas se você quiser usar `async` / `await` sem FastAPI, <a href="https://docs.python.org/3/library/asyncio-task.html#coroutine" class="external-link" target="_blank">verifique a documentação oficial Python</a>.

### Outras formas de código assíncrono

Esse estilo de usar `async` e `await` é relativamente novo na linguagem.

Mas ele faz o trabalho com código assíncrono muito mais fácil.

## Vélemények

"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

## Opiniones

"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

## মতামত সমূহ

"_আমি আজকাল **FastAPI** ব্যবহার করছি। [...] আমরা ভাবছি মাইক্রোসফ্টে **ML সার্ভিস** এ সকল দলের জন্য এটি ব্যবহার করব। যার মধ্যে কিছু পণ্য **Windows** এ সংযোযন হয় এবং কিছু **Office** এর সাথে সংযোযন হচ্ছে।_"

<div style="text-align: right; margin-right: 10%;">কবির খান - <strong>মাইক্রোসফ্টে</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

그런 경우에, 여러분들은 **Gunicorn**을 프로세스 매니저로 포함하는 **공식 도커 이미지**를 사용할 수 있습니다. 이 프로세스 매니저는 다중 **Uvicorn 워커 프로세스들**을 실행하며, 디폴트 세팅으로 현재 CPU 코어에 기반하여 자동으로 워커 개수를 조정합니다. 이 사항에 대해서는 아래의 [Gunicorn과 함께하는 공식 도커 이미지 - Uvicorn](#official-docker-image-with-gunicorn-uvicorn)에서 더 다루겠습니다.

이런 경우에 해당하는 몇가지 예시가 있습니다:

#### 단순한 앱

### Migration

Check out the [Pydantic migration guide](https://docs.pydantic.dev/2.0/migration/).