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    Learning Core Data for iOS: A Hands-On Guide to Building Core Data Applications

    Posted By: nebulae
    Learning Core Data for iOS: A Hands-On Guide to Building Core Data Applications

    Tim Roadley, "Learning Core Data for iOS: A Hands-On Guide to Building Core Data Applications"
    English | ISBN: 0321905768 | 2013 | 480 pages | PDF, EPUB | 60 MB

    Get Started Fast with iOS 7 Core Data App Development
    Covers iOS 7 and Xcode 5

    This is the first Core Data book to fully reflect Apple’s latest platform innovations, including its dramatic recent improvements to iCloud support. Hands-on from start to finish, it teaches you step-by-step as you create a modern data-driven iOS app using Storyboards, ARC, iOS 7, and Xcode 5.

    Tim Roadley introduces new patterns and best practices designed to overcome the frustrations of Core Data development. One step at a time, you’ll build and extend your skills–even mastering advanced techniques such as complex model migration, deep copy, background processing, and integration with Dropbox, StackMob, and iCloud.

    Downloadable versions of this book’s main project are provided with each chapter, so you can see exactly what your app project should look like–and get cookbook-style code for your own projects. Chapter exercises help you explore even further, whether you’re a self-learner or a student in an iOS development course.

    If you’re an experienced iOS developer, this guide brings together all the skills, tools, code, and patterns you need to add powerful data management capabilities to any app–quickly, easily, and painlessly.

    Coverage includes the following:
    Understanding Core Data
    Adding Core Data to an existing project
    Designing, upgrading, and migrating data models (automatically and manually with progress indication)
    Populating views with data, including table-views and picker-views
    Preloading a “default data” persistent store from XML
    Deep-copying from one persistent store to another
    Performance tuning with Instruments, using large photos as the example
    Background processing, using thumbnail generation as the example
    Efficient search
    Seamlessly backing up and restoring with Dropbox
    Stable integration with iCloud–with full support for multiple accounts, seeding, and de-duplication
    Web service integration with StackMob
    Download