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说明：  MATLAB数字信号处理85个实用案例精讲.入门到进阶第三部分 由于平台大小限制，请到我个人主页下载完3个部分一起观看(85 practical cases of matlab digital signal processing Due to the size limitation of the platform, please go to my personal homepage to download the three parts and watch them together)

阿呆正传，喜欢的可以看下，都是源代码，供参考学习(a small game)

Ansys 钢筋混凝土命令流练习！ Ansys 钢筋混凝土命令流练习！(Ansys command stream practice of reinforced concrete! Ansys command stream practice of reinforced concrete!)

介绍使用python处理excel文件，教程语言为英语。(working excel files in python)

说明：  利用ANSYS软件，进行有限元分析。介绍有限元方法、有限元类型、结构分析方法、传热分析方法等。(The finite element analysis is carried out by using ANSYS software.The finite element method, finite element type, structural analysis method and heat transfer analysis method are introduced.)

寻宝问题：给定袋子的容积和每个金块的体积，请你算出最多能带走金块的体积(Treasure hunt question: given the bag' s volume and the volume of each gold, you calculate the volume up to take away gold)

说明：  STL源码剖析(中文完整版带书签)，可以多看看(STL source code analysis (Chinese full version with bookmarks), you can have a look more)

Gelfand numbers of operators with values

说明：  飞行控制系统，张明廉，已绝版的经典版本pdf(Flight Control System, Zhang Minglian, classic version pdf)

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.)