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😎 Awesome lists about all kinds of interesting topics
Java开发者技术书籍大全 - Java入门书籍,Java基础及进阶书籍,框架与中间件,架构设计,设计模式,数学与算法,JVM周边语言,项目管理&领导力&流程,职业素养与个人成长,格局与视野,面试参考书等。
:books: 本代码库是作者小傅哥多年从事一线互联网 Java 开发的学习历程技术汇总,旨在为大家提供一个清晰详细的学习教程,侧重点更倾向编写Java核心内容。如果本仓库能为您提供帮助,请给予支持(关注、点赞、分享)!
SQL MySQL ORACLE
2021面试题,Java面试题、JVM面试题、多线程面试题、并发编程、设计模式面试题、SpringBoot面试题、SpringCloud面试题、MyBatis面试题、ZooKeepe面试题r、Dubbo面试题、Elasticsearch面试题、Memcached面试题、MongoDB面试题、Redis面试题、MySQL面试题、RabbitMQ面试题、Kafka面试题、Linux面试题、Netty面试题、Tomcat面试题、Python面试题
收集了Github上的优秀工具,框架,知识合集
🌻 This is a tutorial of IntelliJ IDEA, you can know how to use IntelliJ IDEA better and better.
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
A MQTT broker,implemented by java and netty,support persistence and cluster
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
mall学习教程,架构、业务、技术要点全方位解析。mall项目(40k+star)是一套电商系统,使用现阶段主流技术实现。涵盖了SpringBoot 2.3.0、MyBatis 3.4.6、Elasticsearch 7.6.2、RabbitMQ 3.7.15、Redis 5.0、MongoDB 4.2.5、Mysql5.7等技术,采用Docker容器化部署。
编程电子书,电子书,编程书籍,包括C,C#,Docker,Elasticsearch,Git,Hadoop,HeadFirst,Java,Javascript,jvm,Kafka,Linux,Maven,MongoDB,MyBatis,MySQL,Netty,Nginx,Python,RabbitMQ,Redis,Scala,Solr,Spark,Spring,SpringBoot,SpringCloud,TCPIP,Tomcat,Zookeeper,人工智能,大数据类,并发编程,数据库类,数据挖掘,新面试题,架构设计,算法系列,计算机类,设计模式,软件测试,重构优化,等更多分类
Spring Framework
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.