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Learning Cocoa with Objective-C: Developing for the Mac and iOS App Stores
Get up to speed on Cocoa and Objective-C, and start developing applications on the iOS and OS X platforms. If you don’t have experience with Apple’s developer tools, no problem! From object-oriented programming to storing app data in iCloud, the fourth edition of this book covers everything you need to build apps for the... | | Java in a Nutshell
The latest edition of Java in a Nutshell is designed to help experienced Java programmers get the most out of Java 7 and 8, but it’s also a learning path for new developers. Chock full of examples that demonstrate how to take complete advantage of modern Java APIs and development best practices, the first section of this... | | Java APIs, Extensions and Libraries: With JavaFX, JDBC, jmod, jlink, Networking, and the Process API
This book completes the Apress Java learning journey and is a comprehensive approach to learning Java APIs, extensions, and modules such as Java EE integration, mobile Java modules, JavaFX, and JDBC. In this book, you'll learn how to build user interfaces with Swing and JavaFX as well as how to write network programs with the ... |
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Advanced Programming Language DesignThis book stems in part from courses taught at the University of Kentucky and at the University of Wisconsin–Madison on programming language design. There are many good books that deal with the subject at an undergraduate level, but there are few that are suitable for a one-semester graduatelevel course. This book is my... | | | | |
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| | Business Process Management Workshops: BPM 2009 International Workshops
This book constitutes the thoroughly refereed post-workshop proceedings of eight international workshops held in Ulm, Germany, in conjunction with the 7th International Conference on Business Process Management, BPM 2009, in September 2009. The eight workshops were on Empirical Research in Business Process Management (ER-BPM 2009), Reference... | | Cluster Analysis for Data Mining and System Identification
Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets... |
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