#awesome book lists
book lists for year 2017
THIS IS WHAT MUST BE DONE IN YEAR 2017
HURRY UP! C++17 IS DONE
The C++ Programming Language
Effective C++
Inside The C++ Object Model
C++沉思录
Thinking in C++
The Design and Evolution of C++
A GOOD WAY TO LEARN GENERIC PROGRAMMING
The C++ Standard Library
C++ Template
JAVA 9 IS READY FOR U
Thinking in Java
Effective Java
JUST FOR FUN
鸟哥的Linux私房菜
tlcl
Linux in a Nutshell
UNIX网络编程卷一
GNU/Linux Programming
GNU Make 中文手册
Linux程序设计
Linux C 编程指南
APUE
The art of UNIX Programming
Advanced Linux Programming
POSIX多线程程序设计
Unix 网络编程卷二
LEARN EXAMPLES OF WRITING GOOD CODES
设计模式之禅
23种设计模式
USERFUL SKILLS MUST BE MASTERED BY EVERY PROGRAMMER
Git 权威指南
Git 版本控制
USERFUL SKILLS MUST BE MASTERED BY EVERY PROGRAMMER
subversion
版本控制之道
EASY TO READ BUT U GOT KEEP THEM IN MIND
程序员修炼之道 从小工到专家
软件开发者路线图 从学徒到高手
凌波微步 软件开发警戒案例
Code Quality
修改代码的艺术
USERFUL SKILLS MUST BE MASTERED BY EVERY PROGRAMMER
软件调试的艺术
软件调试
Data Structure + Algorithm = Program
程序员编程艺术
微软面试100题
Foundations of Algorithms
Algorithms in C++
Actually, mathematics are the basis of not just computer science, but all science. You got to master mathematics if you really want to make a career
Introduction to Mathematical Thinking
Principles of Mathematical Analysis
Calculus(Robert Smith)
Calculus(James Stewart)
Precalculus A Problems Oriented Approach
Calculus A one Year Course
Calculus A Complete Course
微积分学教程(菲赫金哥尔茨)
微积分教程
托马斯微积分
微积分和数学分析引论 (科朗)
离散数学及其应用
The Princeton Companion to Mathematics
Principles of Mathematical for Calculus
Outline of 3000 solved problems in calculus
Introduction to Linear Algebra
Linear Algebra and Its Applications
线性代数及其应用
Algebra and Trigonometry
Elementary and Intermediate Algebra
Intermediate Algebra
代数学引论（科斯特利金）
深入浅出统计学
概率论经典教程 钟开莱
统计学 David Freedman
概率论与数理统计(陈希孺)
概率论教程 –钟开莱
概率导论
初等概率论-随机过程
The Theory of Probability Explorations and Applications
概率导论
统计学习方法
ATTENTION! THIS IS A MUST BE
Skills about how to write essays, hou to use your time and how to learn better
SCI科研投稿发文宝典
科研方法与学术论文写作
如何撰写与发表SCI期刊论文
数学眼光
院士教你读文献
Learning From Data (Yaser)
Learning from Data
Machine Learning for Hackers
Python for Data Analysis
Head first Data Analysis
Doing Data Science
Data Mining: Concepts and Techniques, Third Edition
数据挖掘导论
Introduction to Data Mining
Pattern Recognition and Machine Learning
An Introduction to Information Retrieval
An Introduction to Statistical Learning
Bayesian Reasoning and Machine Learning
Foundations of Statistical Natural Language Processing
Probabilistic Graphical Models
Machine Learning A Probabilistic Perspective
Mining of Massive Datasets
Networks Crowds and markets
Natural Language Processing with Python
Speech and Language Processing
The elements of statistical Learning
社交网站的数据挖掘与分析
深入搜索引擎—海量信息的压缩、索引和查询
数据挖掘与R语言
搜索引擎 信息检索实践
Computational Science and Engineering
Learning R
R Programming for Data Science
Exploratory Data Analysis with R
Ggplot2 数据分析与图形艺术
R Programming for Data Science
R In a Nutshell
R 数据可视化手册
R 语言编程艺术
R 语言经典实例
R 语言实战