绝对是本好书啊！软侧人员必读。最新版 chm 版。

Ruby is the fastest growing and most exciting dynamic language out there. If you need to get working programs delivered fast, you should add Ruby to your toolbox. This book is the only complete reference for both Ruby 1.9 and Ruby 2.0, the very latest version of Ruby. 2013 marks the 20th anniversary of the Ruby language. We’re proud that throughout its history, we’ve continued to cover the latest version of Ruby. Would you like to go from first idea to working code much, much faster? Do you currently spend more time satisfying the compiler instead of your clients or end users? Are you frustrated with demanding languages that seem to get in your way, instead of getting the work done? Are you using Rails, and want to dig deeper into the underlying Ruby language? If so, then we’ve got a language and book for you! Ruby is a fully object-oriented language, much like the classic object-oriented language, Smalltalk. Like Smalltalk, it is dynamically typed (as opposed to Java or C++), but unlike Smalltalk, Ruby features the same conveniences found in modern scripting languages such as Perl and Python. The combination of the power of a pure object-oriented language with the convenience of a scripting language makes Ruby a favorite tool of intelligent, forward-thinking programmers. The Pickaxe contains four major sections: An acclaimed tutorial on using Ruby. The definitive reference to the language. Complete documentation of all built-in classes, modules, and methods. Complete descriptions of all 97 standard libraries. This is the reference manual for Ruby, including a description of all the standard library modules, a complete reference to all built-in classes and modules (including all the new and changed methods introduced by Ruby 1.9, 1.9.2, 1.9.3, and 2.0). It also includes all the new and changed syntax and semantics introduced since Ruby 1.8. Learn about the new parameter passing rules, local variable scoping in blocks, fibers, and the new block declaration syntax, am

This book covers construction, exploration, analysis, and visualization of complex networks using NetworkX (a Python library), as well as several other Python modules, and Gephi, an interactive environment for network analysts. The book is not an introduction to Python. I assume that you already know the language, at least at the level of a freshman programming course. The book consists of five parts, each covering specific aspects of complex networks. Each part comes with one or more detailed case studies. Part I presents an overview of the main Python CNA modules: NetworkX, iGraph, graph-tool, and networkit. It then goes over the construction of very simple networks both programmatically (using NetworkX) and interactively (in Gephi), and it concludes by presenting a network of Wikipedia pages related to complex networks. In Part II, you’ll look into networks based on explicit relationships (such as social networks and communication networks). This part addresses advanced network construction and measurement techniques. The capstone case study—a network of “Panama papers”—illustrates possible money-laundering patterns in Central Asia. Networks based on spatial and temporal co-occurrences—such as semantic and product networks—are the subject of Part III. The third part also explores macroscopic and mesoscopic complex network structure. It paves the way to network-based cultural domain analysis and a marketing study of Sephora cosmetic products. If you cannot find any direct or indirect relationships between the items, but still would like to build a network of them, the contents of Part IV come to the rescue. You will learn how to find out if items are similar, and you will convert quantitative similarities into network edges. A network of psychological trauma types is one of the outcomes of the fourth part. The book concludes with Part V: directed networks with plenty of examples, including a network of qualitative adjectives that you could use in computer games or

Pragmatic AI: An Introduction to Cloud-Based Machine Learning By 作者: Noah Gift ISBN-10 书号: 0134863860 ISBN-13 书号: 9780134863863 Edition 版本: 1 出版日期: 2018-08-19 pages 页数: 256 Contents Preface Acknowledgments About the Author 1:Introduction to PragmaticAl 1Introduction to PragmaticAl 2Aland ML Toolchain 3 Spartan Al Lifecycle ll:Alin the Cloud 4Cloud Al Development with Google Cloud Platform 5 Cloud Al Development with Amazon Web Services lⅢ:Creating Practical Al Applications from Scratch 6 Predicting Social-Media Influence in the NBA 7Creating an Intelligent Slackbot on AWS 8 Finding Project Management Insights from a GitHub Organization 9 Dynamically Optimizing EC2 Instances on AWS 10 Real Estate 11Production Al for User-Generated Content A Al Accelerators B Deciding on Cluster Size Index

Dig under the surface and explore Ruby's most advanced feature: a collection of techniques and tricks known as metaprogramming. In this book, you'll learn metaprogramming as an essential component of Ruby and discover the deep, non-obvious details of the language. Once you understand the tenets of Ruby, including the object model, scopes, and singleton classes, you're on your way to applying metaprogramming both in your daily work assignments and in your fun, after-hours projects. This completely revised new edition covers the new features in Ruby 2.0 and 2.1, and contains code from the latest Ruby libraries, including Rails 4. Most examples are new, "from the wild," with more recent libraries. And the book reflects current ideas of when and how much metaprogramming you should use.