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说明：  自动控制原理第六版胡寿松主编课后习题答案详解(The sixth edition of automatic control principle)

Spring 源码深度解析，带您从底层了解Spring的原理。(Spring source code depth analysis, take you from the bottom to understand the principle of Spring.)

雷达信号的功能以及原理，目前所存在的一些问题(The Function and Principle of Radar Signal and Some Problems Existing at Present)

超声层析成像的理论与实现超声层析成像的理论与实现(The theory of ultrasonic tomography ultrasonic tomography and the realization of the theory and implementation of)

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)

说明：  电子工程师应掌握的二十种基本模拟电路，基本电路(Twenty basic analog circuits that electronic engineers should master, Twenty basic analog circuits that electronic engineers should master)

python学习手册，可供机器学习的同学学习，讲的还是比较好。(Python learning manuals, for machine learning students to learn, speak better.)

说明：  杜晓斌和陈兴文-FPGA和单片机串行通信接口的实现一文提出了FPGA与单片机实现数据串行通信的解决方案。在通信过程中完全遵守RS232 协议，给出了发送模块的vhdl源代码。 (杜晓斌and陈兴文-FPGA single-chip serial communication interface and the realization of a text proposed by the FPGA and MCU serial data communications solutions. In the communication process in full compliance with the RS232 protocol is given to send the VHDL source code modules.)

autoCAD R14 的DXF文件格式(the DXF file format)

说明：  《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.)