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keweizhou (nuptkwz)

nuptkwz

Geek Repo

9

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17

following

30

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Company:Master@NUPT

Location:Nanjing

Home Page:https://nuptkwz.github.io/blog/

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keweizhou's starred repositories

JavaGuide

「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！

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spring-framework

Spring Framework

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weekly

科技爱好者周刊，每周五发布

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interview_internal_reference

2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

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hello-algorithm

🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站

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spring-boot-demo

🚀一个用来深入学习并实战 Spring Boot 的项目。

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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hutool

🍬A set of tools that keep Java sweet.

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SpringAll

循序渐进，学习Spring Boot、Spring Boot & Shiro、Spring Batch、Spring Cloud、Spring Cloud Alibaba、Spring Security & Spring Security OAuth2，博客Spring系列源码：https://mrbird.cc

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toBeTopJavaer

To Be Top Javaer - Java工程师成神之路

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baidu-netdisk-downloaderx

⚡️ 一款图形界面的百度网盘不限速下载器，支持 Windows、Linux 和 Mac。

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springboot-learning-example

spring boot 实践学习案例，是 spring boot 初学者及核心技术巩固的最佳实践。

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spring-analysis

Spring源码阅读

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itstack-demo-design

:art: 《重学Java设计模式》是一本互联网真实案例实践书籍。以落地解决方案为核心，从实际业务中抽离出，交易、营销、秒杀、中间件、源码等22个真实场景，来学习设计模式的运用。欢迎关注小傅哥，微信(fustack)，公众号：bugstack虫洞栈，博客：https://bugstack.cn

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regular-investing-in-box

定投改变命运 —— 让时间陪你慢慢变富 https://onregularinvesting.com

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InternetArchitect

年薪百万互联网架构师课程文档及源码(公开部分)

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JavaHome

一份超级详细的Java面试题【大厂面试真题+Java学习指南+工作总结】

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seckill

the source code of `seckill` with development documentation :zap:

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JUC

多线程与高并发

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shiro

integrating `Shiro` into SSM to control the authority management :bowtie:

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hahu

参照知乎网做的一个简易版问答网站，后台采用Java语言，及Spring，SpringMVC，MyBatis等框架，模版引擎使用FreeMarker。数据库用到MySQL，Redis。

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notes

学习笔记，来自于我的简书和csdn博客，以及平时总结

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Blog

将CSDN里的博客迁移到此处，以后都在此更新。

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Alias

Alias的博客网站~

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algorithm-practice

algorithm practice

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blog

刻威舟的技术博客

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high-concurrency

high-concurrency practice

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My-Blog

:palm_tree::octocat:A simple & beautiful blogging system implemented with docker & springboot & thymeleaf & mybatis

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sharding-jdbc-example

基于Sharding-JDBC的分库分表实战

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tensorflow

Computation using data flow graphs for scalable machine learning

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