Follow the trend to bask in the good books I have read as a big data programmer-continuous update

Source: Internet
Author: User

This article by larrylgq prepared, reproduced please note the Source: http://blog.csdn.net/larrylgq/article/details/7395261

Author: Lu guiqiang

Email: larry.lv.word@gmail.com

I recently saw someone reading a book order online. I also followed suit to record the good books I have read and keep updating them.

At the same time, you are welcome to recommend a book you think is good to me ^

-Data Mining

Machine Learning (I am not recommended to watch the lecture. If you are interested, you can take a look at the machine learning course of the Netease open course. It is very good)

Intelligent Web Algorithm

Collective Smart Programming (the Pearson coefficient example is wrong ...)

This is the search engine (SINA microwave @ Zhang junlin say)

Data Structure

In-Depth Data Analysis (all examples are very easy, including how to raise your salary ..)

Machine Learning Course (Netease open course, which is very good, that is, the subtitles are a little bad. Now it has been translated into 10 sets)

-Programming Language and Algorithm

Large-scale Web Service Development Technology

Deep understanding of Java Virtual Machine

Distributed Java practice (the package is messy, but it is indeed a good book)

Maven3 in action

Programming concurrency on the JVM (we recommend that you talk about the concurrency characteristics of a variety of languages that can run on the JVM)

Hadoop

Hadoop authoritative guide (1, 2)

Common LISP

Clojure programming fun

Programming_clojure

Introduction to lisp

Ruby metaprogramming (the object-oriented part is very good, with both good news and funny texts, not written by general skills)

Songben's procedural world (the knowledge points are very fragmented but really good)

Ruby beginners are proficient (reading the Chinese version, a good entry book, but poor translation advantages)

Go deep into python3

Analysis of core cloud computing technologies (^ Wu's book, recommended !! Haha)

Git authoritative guide (see the previous chapters)

Flex3 developer's Guide

-System

Linux Shell script strategy (a large number of instances, a good entry book)

Build highly available Linux servers

Operating System Design and Implementation

 

-Thinking books

Dark Time

Is your light on?

Mind Map

The art of solving stress-free work

 

-Management and recording

Liu Chuanzhi's management ideology log

Carnegie s' social art

I can copy it successfully.

To be viewed:

Introduction to Algorithms

 

 

 

 

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