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Pro Objective-C Design Patterns for iOS

Pro Objective-C Design Patterns for iOS

Pro Objective-C Design Patterns for iOS
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Pro Objective-C Design Patterns for iOS Paperback - 2011 - 1st Edition

by Chung, Carlo

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Details

  • Title Pro Objective-C Design Patterns for iOS
  • Author Chung, Carlo
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 392
  • Volumes 1
  • Language ENG
  • Publisher Apress
  • Publication date 2011-04-01
  • Bookseller's Inventory # OTF-Y-9781430233305
  • ISBN 9781430233305 / 1430233303
  • Weight 1.45 lbs (0.66 kg)
  • Dimensions 9.2 x 7.5 x 1 in (23.37 x 19.05 x 2.54 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Computers - Languages / Programming
  • Dewey Decimal Code 005.117
  • Quantity available 86

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Reader reviews for Pro Objective-C Design Patterns for iOS

From the publisher

It's time to capitalize on your mastery of Cocoa with Pro Objective-C Design Patterns for iOS. You've developed apps that impressed and performed, and now you're ready to jump into development practices that will leave you with more effective, efficient, and professional level apps. This book is the element you need to make the jump from journeyman to master.

All too often, developers grind through building good apps on willpower and a vigorous focus on code development, leaving them unaware of and unable to benefit from the underlying structural and functional design patterns.

Pro Objective-C Design Patterns for iOS will teach you those design patterns that have always been present at some level in your code, but were never recognized, acknowledged, or fully utilized. Implementation of specific pattern approaches will prove their value to any developer working in the iOS application arena. You'll learn to master classic patterns like singleton, abstract factory, chain of responsibility, and observer. You'll also discover less well-known but useful patterns like memento, composite, command, and mediator.

About the author

Carlo Chung is a computer scientist, tinkerer, and amateur photographer. He earned a master s degree in computer science, specializing in computer vision (a branch of artificial intelligence). Any idea about putting artificial intelligence and any small gadgets together can get him excited. He likes daydreaming about making the iPhone more intelligent and humanoid. He applied his knowledge of computer vision to the iPhone platform and created several apps, two of which have been featured on the front page of the App Store, with one on the top-paid list in the photography category. When he is away from his keyboard, you may see him playing a part in a drum circle or out in the field prospecting for gold.
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