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 20 Recipes for Programming MVC 3: Faster, Smarter Web Development
There's no need to reinvent the wheel every time you run into a problem with ASP.NET's Model-View-Controller (MVC) framework. This concise cookbook provides recipes to help you solve tasks many web developers encounter every day. Each recipe includes the C# code you need, along with a complete working example of how to... | | WebLogic Server 6.1 Workbook for Enterprise JavaBeans, 3rd Edition
The WebLogic workbook is designed to be a companion guide for the book Enterprise Java Beans, 3rd Edition (O'Reilly) by Richard Monson-Haefel. It is published with the approval of O'Reilly & Associates and is produced by Richard Monson-Haefel.
The goal of this WebLogic-specific workbook, like the other vendor-specific... | | Planning and Managing Drupal Projects
If you're a solo website designer or part of a small team itching to build interesting projects with Drupal, this concise guide will get you started. Drupal’s learning curve has thrown off many experienced designers, particularly the way it handles design challenges. This book shows you the lifecycle of a typical Drupal... |
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Microinteractions: Full Color Edition: Designing with Details
It’s the little things that turn a good digital product into a great one. With this full color practical book, you’ll learn how to design effective microinteractions: the small details that exist inside and around features. How can users change a setting? How do they turn on mute, or know they have a new email... | | Computer Vision Metrics: Survey, Taxonomy, and Analysis
Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors... | | Learning R
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.
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