Python基础训练100题(带答案)

C#从入门到实践（全23章），适合初学者快速了解。(C# from entry to practice (all 23 chapters))

这是一个和跨文化交际有关的文章，很不错，可以学习用，可以找到一些我们的缺点，出国什么都会小心了~`(This is a cross-cultural communication and the article quite good, and can learn from, we can find some shortcomings, what will be going abroad to beware )

动态html(Dynamic html)

visual foxpro教程 (foxpro)

个人认为是一本比较好的matlab教程书籍 望采纳(Matlab Textbook)

性能测试 讲解 (Explain the performance testing)

说明：  C 语言入门最最经典的一本，作者是 K&R，其中的 R （Dennis M.Ritchie）为 C 语言设计者之一。(The most classic introduction to C language is by K&R, among which R (Dennis M. Ritchie) is one of the C language designers.)

陈火旺：程序设计语言编译原理(Chan Huo : Programming Language Compiler Principle)

经典C语言书上的练习的答案，手边放一本非常方便。C语言的学习光看书没有用，必须做练习，这个答案帮助很大。(The C Answer Book. Solutions to the Exercises in The C Programming Language, Second Edition by Brian W. Kernighan and Dennis M. Ritchie)

说明：  Python数据挖掘入门与实践 本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)