"Great for beginners -- even if you don't know object-oriented programming, you can learn from examples on the 'Net and be on your way very soon. You will be able to confidently build apps that rival the ones included by Apple itself."-- Josh Content, iPhone Developer
Developers everywhere are eager to create applications for the iPhone, and many of them prefer the open source, community-developed tool chain to Apple's own toolkit. In this new edition of iPhone Open Application Development, author Jonathan Zdziarski covers the latest version of the open toolkit -- now updated for Apple's iPhone 2.x software and iPhone 3G -- and explains in clear language how to create applications using Objective-C and the iPhone API.
Zdziarski, who cracked the iPhone code and built the first fully-functional application with the open toolkit, includes detailed recipes and complete examples for graphics and audio programming, games programming with the CoreSurfaces and CoreImage interfaces, working with iTunes, and using sensors. With the open toolkit and this book, you can build iPhone applications that:
And more. The first edition of this book developed an instant following and became the center of a movement. The second edition of iPhone Open Application Development will make this open source toolkit an indispensable part of iPhone application development.
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Jonathan Zdziarski is better known as the hacker "NerveGas" in the iPhone development community. He is well known for his work in cracking the iPhone and lead the effort to port the first open source applications. Hailed on many geek news sites for his accomplishments, Jonathan is best known for the first application to illustrate and take full advantage of the major iPhone APIs: NES.app, a portable Nintendo Entertainment System emulator. Jonathan is also a full-time research scientist and longtime spam-fighter. He is founder of the DSPAM project, a high profile, next-generation spam filter that was acquired in 2006 by a company designing software accelerators. He lectures widely on the topic of spam and is a foremost researcher in the fields of machine-learning and algorithmic theory.
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