USB Complete 5thEdition

说明：  gcc的安装相关资料 详细介绍了gcc的安装步骤和方法 (gcc installment correlation data in detail introduced gcc installs the step and the method )

ABB+Control+Builder+M教程，ABB PLC编程器Controlbuilder使用教程。(ABB+Control+Builder+M tutorial, ABB PLC programmer Controlbuilder tutorial.)

说明：  本书由Keras之父、现任Google A工智能研究员的弗朗索瓦?肖莱（Frangois Chollet）执笔，详尽介 绍了用Python和Keras进行深度学习的探索实践，涉及计算机视觉、自然语言处理、生成式模型等应用。 书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须 具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立 图像识别模型、生成图像和文字等能力(This book is written by Frangois Chollet, the father of keras and the current researcher of Google a intelligence. It introduces in detail the exploration and practice of deep learning with Python and keras, involving computer vision, natural language processing, generative model and other applications. The book contains more than 30 code examples, and the steps are detailed and thorough. Because this book is based on the accessibility and popularization of artificial intelligence, readers can read it without having the background knowledge of machine learning. After learning this book, readers will have the ability to build their own deep learning environment, establish image recognition model, and generate images and characters)

说明：  求解在不同多模纤芯半径下，单模-多模-单模光纤结构中激发出的各阶模式的耦合系数大小比较，可修改参数。(Solving at different radius of the multimode core, single-mode- Multimode- coupling coefficient of each order mode excited in a single mode optical fiber structure size comparison, the parameters can be modified.)

这是MATLAB的数学手册，对于初学者来说有一定的帮助。(This is the MATLAB Manual of mathematics, for beginners, there will be some help.)

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.)

说明：  请仔细阅读简介！ 此书电子版较大，我分为三个压缩包进行上传，点进我主页下载全部压缩包，再一起解压，一定要下完了一起解压！(Please read the introduction carefully! Pudn has a complete program for this book, but there is no original book. The electronic version of this book is relatively large. I upload it in three compressed packages. Click on my home page to download all the compressed packages, and then decompress them together (the platform limits the file size). We must decompress them together when we are finished!)

具有个性化的学籍和选课注册管理系统(personalized codes and Course Management System Registration)

C#从入门到实践（全23章），适合初学者快速了解。(C# from entry to practice (all 23 chapters))

python基础编程（第三版），学习python的很好电子书籍(Python basic programming (third edition), a good e-book for learning python)