MAXWELL电子版整本书

一些常见放大电路,主要是常用芯片的各种设计连接(Some common amplifier is mainly used to connect chip design)

几篇关于机器学习的PPT课件。A few PPT coursewares about machine learning.(A few PPT coursewares about machine learning.)

physics of cyrstal growth 英文版的教材，很实用(physics of cyrstal growth )

SharePoint列表相关内容，扩展插件等。(SharePoint list related content, extension plug-ins, etc.)

计算机图形学原理及实践：C语言描述（英文版.第2版） pdf格式(Computer Graphics Principles and Practice 2nd Edition in C pdf format)

说明：  从0开始介绍深度学习中文电子版书籍，内容详细，共500多页(Introduce the Chinese electronic version of deep learning books from 0, the content is detailed, a total of more than 500 pages)

Debianlinux的中文安装手册，debian安装入门用。(Debianlinux installation manual entry using debian installed.)

说明：  python图形界面tkinter等的详细介绍和案例演练，教你用pygame库开发属于你的小游戏(Python graphical interface Tkinter and other detailed introduction and case drill, teach you to use pyGame library to develop your own games)

本书的风格跟C语言的经典《The C Programming Language》相似，作者同样也是著名技术作家和语言缔造者的组合。本书与一般的Ruby语言图书相比，除了介绍如何使用Ruby语言外，还讲述了Ruby的实现原理及内部运作机制。堪称Ruby之经典之作(The Ruby Programming Language is the authoritative guide to Ruby and provides comprehensive coverage of versions 1.8 and 1.9 of the language. It was written (and illustrated!) by an all-star team: • David Flanagan, bestselling author of programming language "bibles" (including JavaScript: The Definitive Guide and Java in a Nutshell) and committer to the Ruby Subversion repository. • Yukihiro "Matz" Matsumoto, creator, designer and lead developer of Ruby and author of Ruby in a Nutshell, which has been expanded and revised to become this book. • why the lucky stiff, artist and Ruby programmer extraordinaire. This book begins with a quick-start tutorial to the language, and then explains the language in detail from the bottom up: from lexical and syntactic structure to datatypes to expressions and statements and on through methods, blocks, lambdas, closures, classes and modules. The book also includes a long and thorough introduction to the rich API of the R)

说明：  python 关于深度学习以及Imageai的一些资料(Python deep learning and other file about the Imageai)