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angularjs-book

Examples and Code snippets from the AngularJS O'Reilly book

bioforum

基于django2.0，使用类视图搭建的一个学习论坛demo。（django2.0 forum）演示站点：

blog

知乎专栏中的文章

books_essential-netty-in-action

It is a book about the Essentials of Norman Maurer's Netty in Action.《Netty 实战(精髓)》是对 Norman Maurer 的 《Netty in Action》的一个精简

bookstore

bookstore based on appfuse

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

bottle

bottle.py is a fast and simple micro-framework for python web-applications.

datax

dexterlinlin.github.io

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django-vue

django and vue

docker-spark

Apache Spark docker image

docker-spark-cluster

A simple spark standalone cluster for your testing environment purposses

examples

Examples for Sea.js

fast-data-dev

Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, Landoop Tools, 20+ connectors

fisher

基于Spring Cloud Alibaba,Oauth2,基于VUE的后台权限管理框架,集成了基于MQ的可靠消息的分布式事务解决方案，集成Caffeine和redis分布式多级缓存，集成了Skywalking的APM监控。

font-awesome

The iconic font and CSS toolkit

h2-research

H2数据库源代码学习研究(包括代码注释、文档、用于代码分析的测试用例)

hello-spm

spm hello world

jbosstools-freemarker

JBoss Tools :: Freemarker { freemarker }

jcalablog

a personal blog site based on springboot+srpingMVC+mybatis+velocity+bootstrap+mysql

jeesite

JeeSite 是一个企业信息化开发基础平台，Java企业应用开源框架，Java EE（J2EE）快速开发框架，使用经典技术组合（Spring、Spring MVC、Apache Shiro、MyBatis、Bootstrap UI），包括核心模块如：组织机构、角色用户、权限授权、数据权限、内容管理、工作流等。

jqdialog

jqueryUI-with-iframe

mockseckill

mybatis-paginator

A Mybatis plugin, implementation of database paging and sorting.

mysql-hbase-storage-plugin

hbase storage plugin for mysql

nacos-docker

This project contains a Docker image meant to facilitate the deployment of Nacos .

nativecriteria

Ultra lightweight lib to generate dynamic SQL based on hibernate session

neo4j-python-pandas-py2neo-v3

利用pandas将excel中数据抽取，以三元组形式加载到neo4j数据库中构建相关知识图谱

numpy_execise

机器学习初学者公众号作品

py2neo

Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.