But it is way more complex than that.

/// tip

If you are in a hurry or don't care, continue with the next sections for step by step instructions to set everything up with different techniques.

///

To **learn the basics of HTTPS**, from a consumer perspective, check <a href="https://howhttps.works/" class="external-link" target="_blank">https://howhttps.works/</a>.

```Python hl_lines="1"
{!../../docs_src/first_steps/tutorial001.py!}
```

`FastAPI` est une classe Python qui fournit toutes les fonctionnalités nécessaires au lancement de votre API.

/// note | "Détails techniques"

`FastAPI` est une classe héritant directement de `Starlette`.

C'était l'un des premiers frameworks Python extrêmement rapides basés sur `asyncio`. Il a été conçu pour être très similaire à Flask.

/// note | "Détails techniques"

Il utilisait <a href="https://github.com/MagicStack/uvloop" class="external-link" target="_blank">`uvloop`</a> au lieu du système par défaut de Python `asyncio`. C'est ce qui l'a rendu si rapide.

	tx = db.getInstance()
	tx.Statement.Model = value
	return
}

// Clauses Add clauses
//
// This supports both standard clauses (clause.OrderBy, clause.Limit, clause.Where) and more
// advanced techniques like specifying lock strength and optimizer hints. See the
// [docs] for more depth.
//
//	// add a simple limit clause
//	db.Clauses(clause.Limit{Limit: 1}).Find(&User{})

* Security and authentication, including support for **OAuth2** with **JWT tokens** and **HTTP Basic** auth.
* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic).
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.

* Sécurité et authentification, y compris la prise en charge de **OAuth2** avec les **<abbr title="en anglais : JWT tokens">jetons <abbr title="JSON Web Tokens">JWT</abbr></abbr>** et l'authentification **HTTP Basic**.
* Des techniques plus avancées (mais tout aussi faciles) pour déclarer les **modèles <abbr title="JavaScript Object Notation">JSON</abbr> profondément imbriqués** (grâce à Pydantic).

* Security and authentication, including support for **OAuth2** with **JWT tokens** and **HTTP Basic** auth.
* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic).
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.

You might want to have some predefined responses that apply to many *path operations*, but you want to combine them with custom responses needed by each *path operation*.

For those cases, you can use the Python technique of "unpacking" a `dict` with `**dict_to_unpack`:

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

Dans ces cas, vous pouvez utiliser la technique Python "d'affection par décomposition" (appelé _unpacking_ en anglais) d'un `dict` avec `**dict_to_unpack` :

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

This same technique applies to `Query`, `Cookie`, and `Header`. 😎

///

## Cookies with a Pydantic Model

Declare the **cookie** parameters that you need in a **Pydantic model**, and then declare the parameter as `Cookie`: