/// info | Info

FastAPI unterstützt (und empfiehlt die Verwendung von) `Annotated` seit Version 0.95.0.

Wenn Sie eine ältere Version haben, werden Sie Fehler angezeigt bekommen, wenn Sie versuchen, `Annotated` zu verwenden.

## Full Stack FastAPI MongoDB

... müsaitliğime ve diğer faktörlere bağlı olarak daha sonra gelebilir. 😅 🎉

## Machine Learning modelleri, spaCy ve FastAPI

GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

### Machine Learning modelleri, spaCy ve FastAPI - Features

Пакет <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a> автоматически устанавливается вместе с **FastAPI**, если вы запускаете команду `pip install "fastapi[standard]"`.

Однако, если вы используете команду `pip install fastapi`, пакет `python-multipart` по умолчанию не включается.

Usá-lo em seu editor é o que realmente te mostra os benefícios do FastAPI, ver quão pouco código você tem que escrever, todas as conferências de tipo, preenchimento automático, etc.

---

## Instale o FastAPI { #install-fastapi }

O primeiro passo é instalar o FastAPI.

Certifique-se de criar um [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, ativá-lo e então **instalar o FastAPI**:

<div class="termy">

```console

# Geçmişi, Tasarımı ve Geleceği

Bir süre önce, <a href="https://github.com/fastapi/fastapi/issues/3#issuecomment-454956920" class="external-link" target="_blank">bir **FastAPI** kullanıcısı sordu</a>:

> Bu projenin geçmişi nedir? Birkaç hafta içinde hiçbir yerden harika bir şeye dönüşmüş gibi görünüyor [...]

İşte o geçmişin bir kısmı.

## Alternatifler

    * If you are comparing Starlette, compare it against Sanic, Flask, Django, etc. Web frameworks (or microframeworks).
* **FastAPI**:
    * The same way that Starlette uses Uvicorn and cannot be faster than it, **FastAPI** uses Starlette, so it cannot be faster than it.

from fastapi import FastAPI, Request
from fastapi.encoders import jsonable_encoder
from fastapi.exceptions import RequestValidationError
from fastapi.responses import JSONResponse
from pydantic import BaseModel

app = FastAPI()


@app.exception_handler(RequestValidationError)
async def validation_exception_handler(request: Request, exc: RequestValidationError):
    return JSONResponse(
        status_code=422,

* **FastAPI**:
    * 与 Starlette 使用 Uvicorn 一样，由于 **FastAPI** 使用 Starlette，因此 FastAPI 不能比 Starlette 更快。
    * FastAPI 在 Starlette 基础上提供了更多功能。例如在开发 API 时，所需的数据验证和序列化功能。FastAPI 可以帮助您自动生成 API文档，（文档在应用程序启动时自动生成，所以不会增加应用程序运行时的开销）。
    * 如果您不使用 FastAPI 而直接使用 Starlette（或诸如 Sanic，Flask，Responder 等其它工具），您则要自己实现所有的数据验证和序列化。那么最终您的应用程序会和使用 FastAPI 构建的程序有相同的开销。一般这种数据验证和序列化的操作在您应用程序的代码中会占很大比重。

# Historia, Diseño y Futuro { #history-design-and-future }

Hace algún tiempo, <a href="https://github.com/fastapi/fastapi/issues/3#issuecomment-454956920" class="external-link" target="_blank">un usuario de **FastAPI** preguntó</a>:

> ¿Cuál es la historia de este proyecto? Parece haber surgido de la nada y ser increíble en pocas semanas [...]

Aquí hay un poquito de esa historia.

## Alternativas { #alternatives }

# History, Design and Future { #history-design-and-future }

Some time ago, <a href="https://github.com/fastapi/fastapi/issues/3#issuecomment-454956920" class="external-link" target="_blank">a **FastAPI** user asked</a>:

> What’s the history of this project? It seems to have come from nowhere to awesome in a few weeks [...]

Here's a little bit of that history.

## Alternatives { #alternatives }