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程序员架构师13's Projects

advanced-go-programming-book icon advanced-go-programming-book

:books: 《Go语言高级编程》开源图书，涵盖CGO、Go汇编语言、RPC实现、Protobuf插件实现、Web框架实现、分布式系统等高阶主题(完稿)

advanced-java icon advanced-java

😮 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务等领域知识，后端同学必看，前端同学也可学习

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

apollo icon apollo

Apollo is a reliable configuration management system suitable for microservice configuration management scenarios.

architecture.of.internet-product icon architecture.of.internet-product

互联网公司技术架构，微信/淘宝/微博/腾讯/阿里/美团点评/百度/Google/Facebook/Amazon/eBay的架构，欢迎PR补充

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

awesome-bigdata icon awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

bigdata icon bigdata

BigData Project 大数据项目由浅入深

bigdata-interview icon bigdata-interview

:dart: :star2:[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结

bigdatamining icon bigdatamining

大数据分析与数据挖掘 百度云资源持续更新中，欢迎点赞star Min's blog 欢迎访问我的博客主页！(Welcome to my blog website !)https://liweimin1996.github.io/

chatbot_cn icon chatbot_cn

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

code-camp icon code-camp

这是一个一些学习Java-Python的营地，带大家一起学习和面试

code-camp-java icon code-camp-java

这是一个java的生态圈，包含：基础，服务，框架，大数据，面试等。。。

code-camp-python icon code-camp-python

这是一个Python的生态圈，包含：面试，基础，服务，大数据，算法，AI等

cs-notes icon cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

demo_11.11_storm-spark-hadoop icon demo_11.11_storm-spark-hadoop

hadoop_storm_spark结合实验的例子，模拟淘宝双11节，根据订单详细信息，汇总出总销售量，各个省份销售排行，以及后期的SQL分析，数据分析，数据挖掘等。 --------大概流程------- 第一阶段（storm实时报表） 第二阶段（离线报表）第三阶段（大规模订单即席查询,和多维度查询） 第四阶段（数据挖掘和图计算）

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