* [Lien vers le titre ci-dessus](#code-snippets)
* [Lien interne](index.md#installation)
* [Lien externe](https://sqlmodel.tiangolo.com/)
* [Lien vers une feuille de style](https://fastapi.tiangolo.com/css/styles.css)
* [Lien vers un script](https://fastapi.tiangolo.com/js/logic.js)
* [Lien vers une image](https://fastapi.tiangolo.com/img/foo.jpg)

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python

That's what all the systems with "login with Facebook, Google, X (Twitter), GitHub" use underneath.

### OAuth 1 { #oauth-1 }

There was an OAuth 1, which is very different from OAuth2, and more complex, as it included direct specifications on how to encrypt the communication.

It is not very popular or used nowadays.

OAuth2 doesn't specify how to encrypt the communication, it expects you to have your application served with HTTPS.

/// tip

			if u.BitrotScan {
				scan = madmin.HealDeepScan
			}

			if u.Object == "" {
				healBucket(u.Bucket, scan)
			} else {
				if len(u.Versions) > 0 {
					vers := len(u.Versions) / 16
					if vers > 0 {
						for i := range vers {
							healObject(u.Bucket, u.Object, uuid.UUID(u.Versions[16*i:]).String(), scan)
						}
					}
				} else {
					healObject(u.Bucket, u.Object, u.VersionID, scan)
				}

That should make more sense now. ✨

All that is what powers FastAPI (through Starlette) and what makes it have such an impressive performance.

## Very Technical Details { #very-technical-details }

/// warning

You can probably skip this.

These are very technical details of how **FastAPI** works underneath.

///

## "Form Alanları" Hakkında { #about-form-fields }

HTML formlarının (`<form></form>`) verileri sunucuya gönderme şekli normalde bu veri için JSON'dan farklı "özel" bir encoding kullanır.

**FastAPI** bu veriyi JSON yerine doğru yerden okuyacaktır.

/// note | Teknik Detaylar

Formlardan gelen veri normalde "media type" `application/x-www-form-urlencoded` kullanılarak encode edilir.

/// note | Detalhes Técnicos

Na realidade, `Query`, `Path` e outros que você verá em seguida, criam objetos de subclasses de uma classe `Param` comum, que é ela mesma uma subclasse da classe `FieldInfo` do Pydantic.

E `Field` do Pydantic retorna uma instância de `FieldInfo` também.

`Body` também retorna objetos de uma subclasse de `FieldInfo` diretamente. E tem outras que você verá mais tarde que são subclasses da classe `Body`.

# GraphQL { #graphql }

As **FastAPI** is based on the **ASGI** standard, it's very easy to integrate any **GraphQL** library also compatible with ASGI.

You can combine normal FastAPI *path operations* with GraphQL on the same application.

/// tip

**GraphQL** solves some very specific use cases.

It has **advantages** and **disadvantages** when compared to common **web APIs**.

Você verá a documentação automática da API para a aplicação principal, incluindo apenas suas próprias _operações de rota_:

<img src="/img/tutorial/sub-applications/image01.png">

E então, abra a documentação para a sub-aplicação, em [http://127.0.0.1:8000/subapi/docs](http://127.0.0.1:8000/subapi/docs).

 * cases the consuming thread must call [close] when it has finished reading the response
 * body.
 *
 * ### The response body can be consumed only once.
 *
 * This class may be used to stream very large responses. For example, it is possible to use this
 * class to read a response that is larger than the entire memory allocated to the current process.