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build-logic-commons/module-identity/src/main/kotlin/gradlebuild/identity/extension/ReleasedVersionsDetails.kt
Registered: Wed Nov 06 11:36:14 UTC 2024 - Last Modified: Mon Jun 10 06:17:20 UTC 2024 - 3.3K bytes - Viewed (0) -
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** :
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu Jul 27 18:49:56 UTC 2023 - 3.9K bytes - Viewed (0) -
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/metrics/prometheus/grafana/node/minio-node.json
"interval": "", "legendFormat": "[{{drive}}:{{api}}]", "refId": "B" } ], "title": "Drive Latency (micro sec)", "type": "timeseries" }, { "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "description": "", "fieldConfig": {
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Tue Jun 04 13:24:37 UTC 2024 - 22.4K 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) -
cmd/prepare-storage.go
return nil, nil, errInvalidArgument } // prepare getElapsedTime() to calculate elapsed time since we started trying formatting disks. // All times are rounded to avoid showing milli, micro and nano seconds formatStartTime := time.Now().Round(time.Second) getElapsedTime := func() string { return time.Now().Round(time.Second).Sub(formatStartTime).String() } var ( tries int
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Fri Jul 12 20:51:54 UTC 2024 - 11.1K 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.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu Aug 15 23:30:12 UTC 2024 - 9.2K bytes - Viewed (0) -
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.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 15K bytes - Viewed (0) -
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.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 10.3K bytes - Viewed (0) -
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.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Mon Aug 19 18:15:21 UTC 2024 - 10.9K bytes - Viewed (0)