简单粗暴LaTeX

说明：  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)

如何在首页显示当前的让你的主页能够自动识别来访者使用的浏览器； 一种一条一条显示信息的跑马灯； 自动滚屏并不一定需要Dhtml，到这里看看喔！ 在页面上提供向前，向后翻页的按钮。 告诉来访者在本页面停留的时间，作用好坏你判断吧！ 请来客登记姓名，统计来访次数。等等 ，还有很多很多原码等着你来看哦~(Home show the current home page you can automatically identify visitors to use the browser; One shows a message of a 5,250; Auto Scroll Dhtml not necessarily need to see here! The pages provide forward and backward scrolling button. Tell visitors stay in the pages of time, the role of good or bad judgment you! Invited guests registered to the name, the number of visitors statistics. And so on and many source waiting for you to look at oh)

JavaScript教程,很好用,内容很详细(JavaScript tutorials, useful, very detailed content)

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MATLAB+R2014a完全自学一本通，电子书籍，完整的一本书，可以从其中学习matlab详细的知识(MATLAB+R2014aCompletely self-taught)

delphi学习(delphi study)

Mathematica Package for Analysis and Control of Chaos

一本非常经典的数字语音信号处理的教材，此为英文版。(Digital speech signal processing)

《Python数据挖掘入门与实践》高清中文版 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。("Python Data Mining Getting Started and Practice" HD Chinese version 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.)

电磁场计算的矩量法论文(electromagnetic field of papers Moment Method)