并且，你也可以利用并行和多进程（让多个进程并行运行）的优点来处理与机器学习系统中类似的 **CPU 密集型** 工作。

这一点，再加上 Python 是**数据科学**、机器学习（尤其是深度学习）的主要语言这一简单事实，使得 **FastAPI** 与数据科学/机器学习 Web API 和应用程序（以及其他许多应用程序）非常匹配。

了解如何在生产环境中实现这种并行性，可查看此文 [Deployment](deployment/index.md){.internal-link target=_blank}。

## `async` 和 `await`

现代版本的 Python 有一种非常直观的方式来定义异步代码。这使它看起来就像正常的"顺序"代码，并在适当的时候"等待"。

当有一个操作需要等待才能给出结果，且支持这个新的 Python 特性时，你可以编写如下代码：

```Python

```
https://mysuperapp.com/items/
```

/// tip | Consejo

Si quieres aprender más sobre HTTPS, revisa la guía [Acerca de HTTPS](../deployment/https.md){.internal-link target=_blank}.

///

### Cómo funcionan los headers reenviados por el Proxy { #how-proxy-forwarded-headers-work }

Как добиться такого параллелизма в продакшн, см. раздел [Развёртывание](deployment/index.md){.internal-link target=_blank}.

## `async` и `await` { #async-and-await }

FastAPI añadió soporte para `Annotated` (y empezó a recomendarlo) en la versión 0.95.0.

Si tienes una versión más antigua, obtendrás errores al intentar usar `Annotated`.

Asegúrate de [Actualizar la versión de FastAPI](../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} a al menos 0.95.1 antes de usar `Annotated`.

///

## Usar `Annotated` en el tipo del parámetro `q` { #use-annotated-in-the-type-for-the-q-parameter }

#!/usr/bin/env bash

TESTS_RUN_STATUS=1

function cleanup() {
	echo "Cleaning up MinIO deployment"
	docker compose -f "${DOCKER_COMPOSE_FILE}" down --volumes
	for container in $(docker ps -q); do
		echo Removing docker $container
		docker rm -f $container >/dev/null 2>&1
		docker wait $container
	done
}

function cleanup_and_prune() {
	cleanup
	docker system prune --volumes --force
	docker image prune --all --force
}

				writeErrorResponseJSON(ctx, w, importErrorWithAPIErr(ctx, ErrAdminConfigBadJSON, err, allSvcAcctsFile, ""), r.URL)
				return
			}

			// Validations for LDAP enabled deployments.
			if globalIAMSys.LDAPConfig.Enabled() {
				skippedAccessKeys, err := globalIAMSys.NormalizeLDAPAccessKeypairs(ctx, serviceAcctReqs)
				skipped.ServiceAccounts = append(skipped.ServiceAccounts, skippedAccessKeys...)

Para ver como alcançar esse paralelismo em produção veja a seção sobre [Implantação](deployment/index.md){.internal-link target=_blank}.

## `async` e `await` { #async-and-await }

- [Customization Guide](https://github.com/codelibs/fess-site-search)

---

### Elasticsearch / OpenSearch

If you're migrating from a standalone Elasticsearch or OpenSearch deployment:

#### Document Migration

**Step 1: Export from Source**

Export documents from your existing Elasticsearch/OpenSearch cluster:

```bash
# Using elasticdump
elasticdump \

You are logged in to FastAPI Cloud 🚀
```

</div>

Затем разверните приложение:

<div class="termy">

```console
$ fastapi deploy

Deploying to FastAPI Cloud...

✅ Deployment successful!

🐔 Ready the chicken! Your app is ready at https://myapp.fastapicloud.dev
```

</div>

Вот и всё! Теперь вы можете открыть ваше приложение по этой ссылке. ✨

You are logged in to FastAPI Cloud 🚀
```

</div>

Luego despliega tu app:

<div class="termy">

```console
$ fastapi deploy

Deploying to FastAPI Cloud...

✅ Deployment successful!

🐔 Ready the chicken! Your app is ready at https://myapp.fastapicloud.dev
```

</div>

¡Eso es todo! Ahora puedes acceder a tu app en esa URL. ✨