QuantumFieldTheoryForTheGiftedAmateur

developer for streaming who understand how to prepare classes for

算法第四版书籍，经典书籍。学习算法的人员可以将此作为入门书籍。(Algorithm fourth edition, classic books.Learning algorithm of the researchers could see this as the introductory books.)

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

Gelfand numbers of operators with values

说明：  无线网状网基于不确定性度量极小化的信任模型(In wireless mesh networks,the sample space of evidence may be not integrative.)

《数据结构》这门课程是信息与计算科学专业中一门重要的专业基础课程。当用计算机来解决实际问题时，就要涉及到数据的表示及数据的处理，而数据表示及数据处理正是数据结构课程的主要研究对象，通过这两方面内容的学习，为后续课程，特别是软件方面的课程打下了厚实的知识基础，同时也提供了必要的技能训练。我们主要学习的数据结构包括队列、堆、栈、链表、树和图等。通常情况下，精心选择合适的数据结构可以带来更高的存储效率，因此，数据结构课程在计算机应用专业中具有举足轻重的作用。(Data Structure is an important basic course in information and computing science. When using computers to solve practical problems, it is necessary to involve data representation and data processing, and data representation and data processing are the main research objects of data structure course. Through the study of these two aspects, it lays a solid knowledge foundation for follow-up courses, especially for software courses, at the same time. Necessary skill training is provided. The main data structures we learn include queues, heaps, stacks, linked lists, trees and graphs. Usually, choosing the right data structure carefully can bring about higher storage efficiency. Therefore, the course of data structure plays an important role in computer application specialty.)

VB的Internet编程电子书(VB Programming Internet e-books)

这个非常适合有初步学习经验的人来更加深入学习matlab编程，其中有实际的例子非常适合学习(This is very suitable for people with preliminary learning experience to learn more about matlab programming, and there are practical examples that are very suitable for learning.)

说明：  An E-book which introduces visual studio and c#

《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.)