Let's say you have an idea for a killer iPhone app. Where do you begin? Head First iPhone Development will help you get your first application up and running in no time. You'll quickly learn to use iPhone SDK tools, including Interface Builder and Xcode, and master Objective-C programming principles that will make your app stand out. It's a complete learning experience for creating eye-catching, top-selling iPhone applications.
* Put Objective-C core concepts to work, including message passing, protocols, properties, and memory management
* Take advantage of iPhone patterns such as datasources and delegates
* Preview your applications in the iPhone Simulator
* Build complicated interactions that utilize multiple views, data entry/editing, and iPhone rotation
* Work with iPhone's camera, GPS, and accelerometer
* Optimize, test, and distribute your application
We think your time is too valuable to waste struggling with new concepts. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First iPhone Development provides a visually-rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.
Sprache
Verlagsort
Zielgruppe
Illustrationen
Maße
Höhe: 235 mm
Breite: 203 mm
ISBN-13
978-0-596-80354-4 (9780596803544)
Schweitzer Klassifikation
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. Jonathan's website is zdziarski.com.
