UserAPI

产生替代数据(Surrogate Data) 随机相位法 - SurrogateDataMain_SurrogateData.m(Surrogate data generated (Surrogate Data) randomized phase- SurrogateData Main_SurrogateData.m)

关于粒子群算法的doc文档,里面包含matlab源程序(Particle swarm algorithm on the doc document, which contains the matlab source code)

windows 程序设计源码6-10(windows programming source 6-10)

说明：  介绍使用C++开发CORBA接口，及高级编程技巧(This paper introduces how to use C + + to develop CORBA interface and advanced programming skills)

VC精华文章，文件操作基础(VC prime digest, fundamental of file system)

Indy In Depth。indy网络开发技术的深度指南，适合入门、提高各阶段。(Indy In Depth. indy web development technologies depth guide is suitable for entry and improve the various stages.)

TinyOS programming Example and start up

amstrad hebdogiciel basic codes

python基础编程（第三版），学习python的很好电子书籍(Python basic programming (third edition), a good e-book for learning python)

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.)