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docs/en/docs/alternatives.md
Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask. !!! check "Inspired **FastAPI** to" Be a micro-framework. Making it easy to mix and match the tools and parts needed. Have a simple and easy to use routing system. ### <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a>
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docs/fr/docs/benchmarks.md
La hiérarchie est la suivante : * **Uvicorn** : un serveur ASGI * **Starlette** : (utilise Uvicorn) un micro-framework web * **FastAPI**: (utilise Starlette) un micro-framework pour API disposant de fonctionnalités additionnelles pour la création d'API, avec la validation des données, etc. * **Uvicorn** :
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docs/en/docs/release-notes.md
* 👷 Add cron to run test once a week on monday. PR [#11377](https://github.com/tiangolo/fastapi/pull/11377) by [@estebanx64](https://github.com/estebanx64). * ➕ Replace mkdocs-markdownextradata-plugin with mkdocs-macros-plugin. PR [#11383](https://github.com/tiangolo/fastapi/pull/11383) by [@tiangolo](https://github.com/tiangolo).
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requirements-docs.txt
pillow==10.3.0 # For image processing by Material for MkDocs cairosvg==2.7.0 mkdocstrings[python]==0.24.3 griffe-typingdoc==0.2.2 # For griffe, it formats with black black==24.3.0
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docs/en/docs/features.md
With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on Pydantic for all the data handling): * **No brainfuck**: * No new schema definition micro-language to learn. * If you know Python types you know how to use Pydantic.
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docs/pt/docs/features.md
Com **FastAPI** você terá todos os recursos do **Pydantic** (já que FastAPI utiliza o Pydantic para todo o controle dos dados): * **Sem pegadinhas**: * Sem novas definições de esquema de micro-linguagem para aprender. * Se você conhece os tipos do Python, você sabe como usar o Pydantic.
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docs/zh/docs/features.md
这也意味着在很多情况下,你可以将从请求中获得的相同对象**直接传到数据库**,因为所有的验证都是自动的。 反之亦然,在很多情况下,你也可以将从数据库中获取的对象**直接传到客户端**。 通过 **FastAPI** 你可以获得所有 **Pydantic** (FastAPI 基于 Pydantic 做了所有的数据处理): * **更简单**: * 没有新的模式定义 micro-language 需要学习。 * 如果你知道 Python types,你就知道如何使用 Pydantic。 * 和你 **<abbr title="集成开发环境,和代码编辑器类似">IDE</abbr>/<abbr title="一个检查代码错误的程序">linter</abbr>/brain** 适配:
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docs/es/docs/features.md
Con **FastAPI** obtienes todas las características de **Pydantic** (dado que FastAPI está basado en Pydantic para todo el manejo de datos): * **Sin dificultades para entender**: * No necesitas aprender un nuevo micro-lenguaje de definición de schemas. * Si sabes tipos de Python, sabes cómo usar Pydantic.
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docs/fa/docs/features.md
با FastAPI شما تمام ویژگی های Pydantic را دراختیار دارید (زیرا FastAPI برای تمام بخش مدیریت دیتا بر اساس Pydantic عمل میکند): * **خبری از گیج شدن نیست**: * هیچ <abbr title="micro-language">زبان خردی</abbr> برای یادگیری تعریف طرحواره های جدید وجود ندارد. * اگر تایپ های پایتون را میشناسید، نحوه استفاده از Pydantic را نیز میدانید.
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docs/fr/docs/alternatives.md
Ce découplage des parties, et le fait d'être un "micro-framework" qui puisse être étendu pour couvrir exactement ce qui est nécessaire, était une caractéristique clé que je voulais conserver. Compte tenu de la simplicité de Flask, il semblait bien adapté à la création d'API. La prochaine chose à trouver était un "Django REST Framework" pour Flask. !!! check "A inspiré **FastAPI** à"
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