Using it in your editor is what really shows you the benefits of FastAPI, seeing how little code you have to write, all the type checks, autocompletion, etc.

---

## Install FastAPI

The first step is to install FastAPI.

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then **install FastAPI**:

<div class="termy">

```console

* <a href="https://ariadnegraphql.org/" class="external-link" target="_blank">👸</a>
    * ⏮️ <a href="https://ariadnegraphql.org/docs/fastapi-integration" class="external-link" target="_blank">🩺 FastAPI</a>
* <a href="https://tartiflette.io/" class="external-link" target="_blank">🍟</a>

Вы также можете использовать OpenAPI для автоматической генерации кода для клиентов, которые взаимодействуют с API. Например, для фронтенд-, мобильных или IoT-приложений.

## Рассмотрим поэтапно

### Шаг 1: импортируйте `FastAPI`

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

Aquí hay algunas de las libraries de **GraphQL** que tienen soporte con **ASGI** las cuales podrías usar con **FastAPI**:

* <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a> 🍓
    * Con <a href="https://strawberry.rocks/docs/integrations/fastapi" class="external-link" target="_blank">documentación para FastAPI</a>
* <a href="https://ariadnegraphql.org/" class="external-link" target="_blank">Ariadne</a>

    * 如果你要比較 Starlette，請將其與 Sanic、Flask、Django 等網頁框架（或微框架）進行比較。
* **FastAPI**：
    * 就像 Starlette 使用 Uvicorn 並不能比它更快一樣， **FastAPI** 使用 Starlette，所以它不能比它更快。
    * FastAPI 在 Starlette 基礎之上提供了更多功能。包含建構 API 時所需要的功能，例如資料驗證和序列化。FastAPI 可以幫助你自動產生 API 文件，（應用程式啟動時將會自動生成文件，所以不會增加應用程式運行時的開銷）。
    * 如果你沒有使用 FastAPI 而是直接使用 Starlette（或其他工具，如 Sanic、Flask、Responder 等），你將必須自行實現所有資料驗證和序列化。因此，你的最終應用程式仍然具有與使用 FastAPI 建置相同的開銷。在許多情況下，這種資料驗證和序列化是應用程式中編寫最大量的程式碼。

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

## Créer le code **FastAPI**.

* Créer un répertoire `app` et y entrer.
* Créez un fichier `main.py` avec :

```Python
from typing import Optional

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():

# Security Policy

Security is very important for FastAPI and its community. 🔒

Learn more about it below. 👇

## Versions

The latest version of FastAPI is supported.

You are encouraged to [write tests](https://fastapi.tiangolo.com/tutorial/testing/) for your application and update your FastAPI version frequently after ensuring that your tests are passing. This way you will benefit from the latest features, bug fixes, and **security fixes**.

    * Si estás comparando Starlette, compáralo con Sanic, Flask, Django, etc. Frameworks web (o microframeworks).
* **FastAPI**:
    * De la misma manera que Starlette usa Uvicorn y no puede ser más rápido que él, **FastAPI** usa Starlette, por lo que no puede ser más rápido que él.

* **FastAPI** :
    * Comme Starlette, FastAPI utilise Uvicorn et ne peut donc pas être plus rapide que ce dernier.

And then it just returns a `dict` containing those values.

/// info

FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0.

If you have an older version, you would get errors when trying to use `Annotated`.

Make sure you [Upgrade the FastAPI version](../../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} to at least 0.95.1 before using `Annotated`.

///