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docs/fr/docs/benchmarks.md
* **FastAPI** : * Comme Starlette, FastAPI utilise Uvicorn et ne peut donc pas être plus rapide que ce dernier.
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docs/ru/docs/alternatives.md
Например, он не предоставляет инструментов для маршрутизации запросов по ресурсам. Для этого нужна надстройка, такая как Starlette (или **FastAPI**). Он рекомендуется в качестве сервера для Starlette и **FastAPI**. /// check | "**FastAPI** рекомендует его" Как основной сервер для запуска приложения **FastAPI**. Вы можете объединить его с Gunicorn, чтобы иметь асинхронный многопроцессный сервер.
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docs/uk/docs/tutorial/first-steps.md
`FastAPI` це клас, який успадковується безпосередньо від `Starlette`. Ви також можете використовувати всю функціональність <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> у `FastAPI`. /// ### Крок 2: створюємо екземпляр `FastAPI` ```Python hl_lines="3" {!../../docs_src/first_steps/tutorial001.py!} ``` Змінна `app` є екземпляром класу `FastAPI`.
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docs/de/docs/how-to/graphql.md
Hier sind einige der **GraphQL**-Bibliotheken, welche **ASGI** unterstützen. Diese könnten Sie mit **FastAPI** verwenden: * <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a> 🍓 * Mit <a href="https://strawberry.rocks/docs/integrations/fastapi" class="external-link" target="_blank">Dokumentation für FastAPI</a> * <a href="https://ariadnegraphql.org/" class="external-link" target="_blank">Ariadne</a>
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docs/pt/docs/how-to/graphql.md
## Bibliotecas GraphQL Aqui estão algumas das bibliotecas **GraphQL** que têm suporte **ASGI**. Você pode usá-las com **FastAPI**: * <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a> 🍓 * Com <a href="https://strawberry.rocks/docs/integrations/fastapi" class="external-link" target="_blank">docs para FastAPI</a> * <a href="https://ariadnegraphql.org/" class="external-link" target="_blank">Ariadne</a>
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tests/test_tutorial/test_websockets/test_tutorial002_an_py310.py
import pytest from fastapi import FastAPI from fastapi.testclient import TestClient from fastapi.websockets import WebSocketDisconnect from ...utils import needs_py310 @pytest.fixture(name="app") def get_app(): from docs_src.websockets.tutorial002_an_py310 import app return app @needs_py310 def test_main(app: FastAPI): client = TestClient(app) response = client.get("/")
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docs/zh-hant/docs/benchmarks.md
* 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。
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docs/ko/docs/tutorial/body-multiple-params.md
/// FastAPI는 요청을 자동으로 변환해, 매개변수의 `item`과 `user`를 특별한 내용으로 받도록 할 것입니다. 복합 데이터의 검증을 수행하고 OpenAPI 스키마 및 자동 문서를 문서화합니다. ## 본문 내의 단일 값 쿼리 및 경로 매개변수에 대한 추가 데이터를 정의하는 `Query`와 `Path`와 같이, **FastAPI**는 동등한 `Body`를 제공합니다. 예를 들어 이전의 모델을 확장하면, `item`과 `user`와 동일한 본문에 또 다른 `importance`라는 키를 갖도록 할 수있습니다. 단일 값을 그대로 선언한다면, **FastAPI**는 쿼리 매개변수로 가정할 것입니다.
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docs/pt/docs/deployment/manually.md
# Execute um Servidor Manualmente ## Utilize o comando `fastapi run` Em resumo, utilize o comando `fastapi run` para inicializar sua aplicação FastAPI: <div class="termy"> ```console $ <font color="#4E9A06">fastapi</font> run <u style="text-decoration-style:single">main.py</u> <font color="#3465A4">INFO </font> Using path <font color="#3465A4">main.py</font>
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docs/de/docs/advanced/index.md
Oder Sie belegen einfach lieber andere Kurse, weil diese besser zu Ihrem Lernstil passen. Einige Kursanbieter ✨ [**sponsern FastAPI**](../help-fastapi.md#den-autor-sponsern){.internal-link target=_blank} ✨, dies gewährleistet die kontinuierliche und gesunde **Entwicklung** von FastAPI und seinem **Ökosystem**.
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