And as you can have parallelism and asynchronicity at the same time, you get higher performance than most of the tested NodeJS frameworks and on par with Go, which is a compiled language closer to C <a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(all thanks to Starlette)</a>.

### Is concurrency better than parallelism?

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

O **JSON Schema** na verdade não tem um campo `example` nos padrões. Versões recentes do JSON Schema definem um campo <a href="https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5" class="external-link" target="_blank">`examples`</a>, mas o OpenAPI 3.0.3 é baseado numa versão mais antiga do JSON Schema que não tinha `examples`.

### Type de contenu OpenAPI personnalisé

En utilisant cette même astuce, vous pouvez utiliser un modèle Pydantic pour définir le schéma JSON qui est ensuite inclus dans la section de schéma OpenAPI personnalisée pour le *chemin* concerné.

Et vous pouvez le faire même si le type de données dans la requête n'est pas au format JSON.

### Wie das Importieren funktioniert

Die Sektion:

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

bedeutet:

* Beginnend im selben Package, in dem sich dieses Modul (die Datei `app/main.py`) befindet (das Verzeichnis `app/`) ...

    * **Cookie Sessions**
    * ...ve daha fazlası.

## Performans

    * **Cookie Sessions**
    * ...та більше.

## Продуктивність

    * ** *️⃣ **
    * 📶 ⏩ 💯 ⚓️ 🔛 🇸🇲 & `pytest`
    * **⚜**
    * **🍪 🎉**
    * ...& 🌖.

## 🎭

🔬 🇸🇲 📇 🎦 **FastAPI** 🈸 🏃‍♂ 🔽 Uvicorn <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">1️⃣ ⏩ 🐍 🛠️ 💪</a>, 🕴 🔛 💃 &amp; Uvicorn 👫 (⚙️ 🔘 FastAPI). (*)

그리고 **FastAPI**를 사용함으로써 동일한 성능을 낼 수 있습니다.

또한 병렬성과 비동기성을 동시에 사용할 수 있기 때문에, 대부분의 테스트가 완료된 NodeJS 프레임워크보다 더 높은 성능을 얻고 C에 더 가까운 컴파일 언어인 Go와 동등한 성능을 얻을 수 있습니다<a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(모두 Starlette 덕분입니다)</a>.

### 동시성이 병렬성보다 더 나은가?

그렇지 않습니다! 그것이 이야기의 교훈은 아닙니다.

**FastAPI** applications running under Uvicorn as <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">one of the fastest Python frameworks available</a>, only below Starlette and Uvicorn themselves (used internally by FastAPI). (*)

To understand more about it, see the section <a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">Benchmarks</a>....

!!! warning
    This example is not secure, the password is not hashed.

    In a real life application you would need to hash the password and never save them in plaintext.

    For more details, go back to the Security section in the tutorial.

    Here we are focusing only on the tools and mechanics of databases.

!!! tip