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django-datatable-view icon django-datatable-view

Server-side datatable representations for Django querysets for automatic rendering in templates

django-import-export icon django-import-export

Django application and library for importing and exporting data with admin integration.

django-mysql icon django-mysql

:dolphin: :horse: Extensions to Django for use with MySQL/MariaDB

docker-images icon docker-images

Official source for Docker configurations, images, and examples of Dockerfiles for Oracle products and projects

easyquant icon easyquant

股票量化框架,支持行情获取以及交易

erp icon erp

ERP build with powerbuilder 10.5 using Ibm DB2 or Sqlite

eth-typing icon eth-typing

Python types for type hinting commonly used ethereum types

examples icon examples

Learn to create a desktop app with Python and Qt

examples-of-web-crawlers icon examples-of-web-crawlers

一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )

exceltomysql icon exceltomysql

一个实现自动化导入Excel文件到MySQL数据库的工具

fastapi icon fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

fbs icon fbs

Create Python GUIs with Qt in minutes

flask icon flask

The Python micro framework for building web applications.

flask-admin icon flask-admin

Simple and extensible administrative interface framework for Flask

flask-appbuilder icon flask-appbuilder

Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/

flask-bookrecommend-mysql icon flask-bookrecommend-mysql

使用Flask,mysql构建的一个基于书籍,基于协同过滤算法,基于slope one的图书推荐系统

flask_oracle icon flask_oracle

一般印象,flask 项目适合做一些短小精悍的项目,特别是与 sqlite、mysql 等数据库结合很是般配。但是在一些大公司,特别是一些金融行业等国企公司,还是以 oracle 居多,那么,这个小辣椒(flask)就无用武之地了吗?No, No, No... 下面将以 flask_oracle 项目为例,对 flask 的功能进行一个详细的讲解。

flaskbb icon flaskbb

A classic Forum Software in Python using Flask.

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