Pinned Repositories
JavaKeeper
✍️ Java 工程师必备架构体系知识总结：涵盖分布式、微服务、RPC等互联网公司常用架构，以及数据存储、缓存、搜索等必备技能
books
【编程随想】收藏的电子书清单（多个学科，含下载链接）
cat
Central Application Tracking
CommercialDistrict
this project mainly for the commercailDistrict
ddd
eastmoney
facebook-recommender-demo
This project is the basis for a BedCon talk and should make it possible for the listener to build an own recommender.
hadoop
this is my hadoop analysis
hadoop-common
Mirror of Apache Hadoop common
hbase
Mirror of Apache Hadoop HBase
hffeng's Repositories
hffeng/JSqlParser
JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern
hffeng/books
【编程随想】收藏的电子书清单（多个学科，含下载链接）
hffeng/MyUploader-Backend
单文件上传，多文件上传，大文件上传，断点续传，文件秒传，图片上传
hffeng/netty
Netty project - an event-driven asynchronous network application framework
hffeng/JavaGuide-Interview
JavaGuide面试突击版
hffeng/ddd
hffeng/spring-framework
Spring Framework
hffeng/eastmoney
hffeng/JavaKeeper
✍️ Java 工程师必备架构体系知识总结：涵盖分布式、微服务、RPC等互联网公司常用架构，以及数据存储、缓存、搜索等必备技能
hffeng/Interview
hffeng/smash
hffeng/learn_netty_source_code
Netty 源码分析教程
hffeng/weapp-wechat-zhihu
微信中的知乎--微信小程序 demo // Zhihu in Wechat
hffeng/cat
Central Application Tracking
hffeng/spark
Mirror of Apache Spark
hffeng/wind
用python实现取得wind数据库里面的记录
hffeng/XChart
XChart is an ultra-light Java library for plotting data.
hffeng/CommercialDistrict
this project mainly for the commercailDistrict
hffeng/StreamKC
this project mainly for my graduate paper
hffeng/personalization
hffeng/PSP
hffeng/facebook-recommender-demo
This project is the basis for a BedCon talk and should make it possible for the listener to build an own recommender.
hffeng/python-recsys
A python library for implementing a recommender system
hffeng/hadoop-common
Mirror of Apache Hadoop common
hffeng/hadoop
this is my hadoop analysis
hffeng/hbase
Mirror of Apache Hadoop HBase
hffeng/jboss-as
JBoss Application Server
hffeng/upcat
this is my own java http server
hffeng/tomcat
Mirror of Apache Tomcat
hffeng/recommendify
ruby/redis based recommendation engine (collaborative filtering)