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  1. 编程语言:所有
  2. 代码类别:电子书籍
  3. 发布时间:今天
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1. C参考手册

说明:  一款C语言代码方法搜索手册,方便写代码的字典(A C language code method search manual, easy to write code dictionary)

0
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80
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2019-06-28发布

2. 力系统继保护-

  procedure of matlab which is used to cultivated

0
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113
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2019-06-27发布

3. 力系统继保护-

说明:  procedure of matlab which is used to cultivated

4
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115
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2019-06-27发布

4. Board Design Guidelines for PCIe

  Board Design Guidelines for PCI Express Architecture

0
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89
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2019-06-18发布

5. Board Design Guidelines for PCIe

说明:  Board Design Guidelines for PCI Express Architecture

0
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84
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2019-06-18发布

6. The C Programming Language中文版(绝对高清)

  C 语言入门最最经典的一本,作者是 K&R,其中的 R (Dennis M.Ritchie)为 C 语言设计者之一。(The most classic introduction to C language is by K&R, among which R (Dennis M. Ritchie) is one of the C language designers.)

5
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102
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2019-06-18发布

7. The C Programming Language中文版(绝对高清)

说明:  C 语言入门最最经典的一本,作者是 K&R,其中的 R (Dennis M.Ritchie)为 C 语言设计者之一。(The most classic introduction to C language is by K&R, among which R (Dennis M. Ritchie) is one of the C language designers.)

55
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82
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2019-06-18发布

8. Fixed%20Point%20Theory%20and%20Applications

  latex入门项目,学习如何用latex写论文(This is a startup project for latex.)

0
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220
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2019-06-07发布

9. Fixed%20Point%20Theory%20and%20Applications

说明:  latex入门项目,学习如何用latex写论文(This is a startup project for latex.)

0
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186
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2019-06-07发布

10. 568464 算法的乐趣

  算法的乐趣,增加对算法的了解。图灵原创,王晓华著(The Fun of Algorithms)

1
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106
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2019-05-31发布

11. 568464 算法的乐趣

说明:  算法的乐趣,增加对算法的了解。图灵原创,王晓华著(The Fun of Algorithms)

1
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104
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2019-05-31发布

12. 《CRUISE高级培训教程》cruise_Advanced_MatLab

  Cruise高级培训教程,对熟悉和了解Cruise仿真有很大的帮助。(Cruise advanced training course is very helpful to familiarize with and understand Cruise simulation.)

2
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96
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2019-05-24发布

13. JAVA架构师知识整理

  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.)

3
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123
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2019-05-22发布

14. JAVA架构师知识整理

说明:  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.)

9
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144
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2019-05-22发布

17. 雷达手册(第三版)

  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)

6
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149
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2019-05-21发布

18. 雷达手册(第三版)

说明:  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)

8
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101
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2019-05-21发布

19. 《Python数据挖掘入门与实践》高清中文版

  《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.)

16
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69
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2019-05-19发布

20. 《Python数据挖掘入门与实践》高清中文版

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.)

34
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90
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2019-05-19发布