iPhone SDK Application Development (Paperback)

iPhone SDK Application Development Book Description

This practical book offers programmers the knowledge and code they need to create cutting-edge mobile applications, using Apple's iPhone SDK. The iPhone is one of the hottest new pieces of technology: a fully functional portable Unix operating system with the most advanced handheld user interface in existence. iPhone SDK Application Development covers development environment for both the iPhone and iPod Touch, from windows and navigation bars to more advanced layers of the iPhone SDK, such as screen transitions, low-level graphics rendering using CoreSurface, the MultiTouch API, and digital sound and music rendering with Celestial and CoreAudio.

With this book, you will: Understand how the iPhone works internally, with a complete introduction to the technology


Learn how different iPhone components interact with each other


Use your existing Mac OS X development skills by understanding the similarities between iPhone and Mac OS X Leopard


Learn about the iPhone-specific APIs, such as the user interface, to develop custom iPhone applications


Get code examples to help you write various features of your application
With iPhone SDK Application Development, you'll learn how to create effective iPhone applications and games with the same tools Apple uses.

About the Author
Jonathan Zdziarski is better known as the hacker "NerveGas" in the iPhone development community. His work in cracking the iPhone helped lead the effort to port the first open source applications, and his book, iPhone Open Application Development, taught developers how to write applications for the popular device long before Apple introduced its own SDK. Prior to the release of iPhone Forensics, Jonathan wrote and supported an iPhone forensics manual distributed exclusively to law enforcement. Jonathan frequently consults law enforcement agencies and assists forensic examiners in their investigations. He teaches an iPhone forensics workshop in his spare time to train forensic examiners and corporate security personnel.

Jonathan is also a full-time research scientist specializing in machine learning technology to combat online fraud and spam, an effort that led him to develop networking products capable of learning how to protect customers. He is founder of the DSPAM project, a high-profile, next-generation spam filter that was acquired in 2006 by Sensory Networks, Inc. He lectures widely on the topic of spam and is a foremost researcher in the fields of machine-learning and algorithmic theory.

Jonathan's website is zdziarski.com.

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