Si vous exécutez les exemples avec, par exemple :

<div class="termy">

```console
$ uvicorn tutorial001:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Comme Uvicorn utilisera par défaut le port `8000`, la documentation sur le port `8008` n'entrera pas en conflit.

### Traductions

* 绝大多数特性既在文档中得以阐述，又通过测试覆盖进行保障。


### 应用和文档同时运行

如果你使用以下方式运行示例程序：

<div class="termy">

```console
$ uvicorn tutorial001:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

由于 Uvicorn 默认使用 `8000` 端口 ，因此运行在 `8008` 端口上的文档不会与之冲突。

### 翻译

**非常感谢**你能够参与文档的翻译！这项工作需要社区的帮助才能完成。 🌎 🚀

以下是参与帮助翻译的步骤。

Wie auch immer, Sie würden es so ausführen:

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 8080 --workers 4
<font color="#A6E22E">INFO</font>:     Uvicorn running on <b>http://0.0.0.0:8080</b> (Press CTRL+C to quit)
<font color="#A6E22E">INFO</font>:     Started parent process [<font color="#A1EFE4"><b>27365</b></font>]

Запустите ваш сервер:

<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)
```

</div>

## Проверка

    这是因为 **OAuth2** 使用**表单数据**发送 `username` 与 `password`。

用下面的命令运行该示例：

<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)
```

</div>

## 查看文档

打开 API 文档： <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs。</a>

界面如下图所示：

无论如何，您都可以像这样运行它：

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 8080 --workers 4
<font color="#A6E22E">INFO</font>:     Uvicorn running on <b>http://0.0.0.0:8080</b> (Press CTRL+C to quit)
<font color="#A6E22E">INFO</font>:     Started parent process [<font color="#A1EFE4"><b>27365</b></font>]

    pass
```

Then run your app with Uvicorn:

<div class="termy">

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

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Open your browser at <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>  and create a couple of users.

2. By using a `with` block, we make sure that the file-like object is closed after the generator function is done. So, after it finishes sending the response.
3. This `yield from` tells the function to iterate over that thing named `file_like`. And then, for each part iterated, yield that part as coming from this generator function.

Führen Sie nun `uvicorn` aus, indem Sie das Modul `app.main` und die Variable `app` verwenden:

<div class="termy">

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

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

und öffnen Sie die Dokumentation unter <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

With **FastAPI** you can take the advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.