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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"
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 20 19:20:23 UTC 2024 - 27.6K bytes - Viewed (0) -
docs/tr/docs/alternatives.md
Kullanıcılar için otomatik API dökümantasyonu sunan bir web arayüzüne sahip olmalı. /// ### <a href="https://flask.palletsprojects.com" class="external-link" target="_blank">Flask</a> Flask bir <abbr title="Mikro Framework: Micro Framework">mikro framework</abbr> olduğundan Django gibi framework'lerin aksine veritabanı entegrasyonu gibi Django ile gelen pek çok özelliği direkt barındırmaz.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 20 19:20:23 UTC 2024 - 28.8K bytes - Viewed (0) -
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/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/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/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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android/guava/src/com/google/common/util/concurrent/AggregateFuture.java
try { // We get the result, even if collectOneValue is a no-op, so that we can fail fast. // We use getUninterruptibly over getDone as a micro-optimization, we know the future is done. collectOneValue(index, getUninterruptibly(future)); } catch (ExecutionException e) { handleException(e.getCause());
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri Oct 25 13:13:32 UTC 2024 - 16.2K bytes - Viewed (0) -
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/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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android/guava/src/com/google/common/util/concurrent/RateLimiter.java
* thus paying for the cost of the expensive task. * * @author Dimitris Andreou * @since 13.0 */ // TODO(user): switch to nano precision. A natural unit of cost is "bytes", and a micro precision // would mean a maximum rate of "1MB/s", which might be small in some cases. @Beta @J2ktIncompatible @GwtIncompatible @ElementTypesAreNonnullByDefault public abstract class RateLimiter { /**
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