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 Metaprogramming Ruby 2: Program Like the Ruby Pros (Facets of Ruby)
Write powerful Ruby code that is easy to maintain and change. With metaprogramming, you can produce elegant, clean, and beautiful programs. Once the domain of expert Rubyists, metaprogramming is now accessible to programmers of all levels. This thoroughly revised and updated second edition of the bestselling Metaprogramming Ruby... |  |  Learning C# by Developing Games with Unity 3D Beginner's Guide
The beauty of this book is that it assumes absolutely no knowledge of coding at all. Starting from very first principles it will end up giving you an excellent grounding in the writing of C# code and scripts.
Overview
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You've actually been creating scripts in your mind your whole life, you just...
|  |  Alfresco CMIS
Everything you need to know to start coding integrations with a content management server such as Alfresco in a standard way
About This Book
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Understand what is unique about Alfresco's CMIS implementation and put your learning into practice
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Talk to content management servers in a...
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 Audiovisual Archives: Digital Text and Discourse Analysis (ISTE)
Today, audiovisual archives and libraries have become very popular especially in the field of collecting, preserving and transmitting cultural heritage. However, the data in these archives or libraries - videos, images, soundtracks, etc. - constitute as such only potential cognitive resources for a given public (or “target... |  |  Pro JPA 2
Pro JPA 2, Second Edition introduces, explains, and demonstrates how to use the new Java Persistence API (JPA) 2.1 from the perspective of one of the specification creators. A one-of-a-kind resource, it provides both theoretical and extremely practical coverage of JPA usage for both beginning and advanced... |  |  Bayesian Time Series Models
'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of probabilistic graphical... |
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