Getting_Started_Guide_Tinyos

涵盖java架构师知识点的整理，从java基础到微服务、负载均衡、jvm、并发、netty、rpc、网络、日志、设计模式等等(It covers the organization of knowledge points of Java architects, from Java infrastructure to micro services, load balancing, jvm, concurrency, netty, rpc, network, log, design patterns, etc.)

说明：  书中详细的讲解了数字信号处理的过程和每一步内容，对学习很有帮助。(The book explains the process of digital signal processing and each step in detail, which is very helpful for learning.)

《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.)

《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.)

精通MATLAB和c/c++混合编程设计(Proficient in MATLAB and c/c++ mixed programming design)

说明：  c语言编程指南。c语言程序设计及应用实例 (Guide. C Programming Language Design and Application)

Gelfand numbers of operators with values

一个不错的比较，推荐！(a good comparison, the recommended!)

说明：  通过Python，Theano和Tensorflow，掌握数据科学和机器学习(Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow)

这是一本电力系统行业MATLAB应用的经典书籍，有大量的仿真例子和代码(This is a classic book on power system industry MATLAB applications, there are a large number of simulation examples and code)