PhoneGap and AngularJS for Cross-platform Development. Build exciting cross-platform applications using PhoneGap and AngularJS

PhoneGap and AngularJS for Cross-platform Development. Build exciting cross-platform applications using PhoneGap and AngularJS - Opis

PhoneGap is a mobile development framework that allows developers to build cross-platform mobile applications. Building PhoneGap apps is traditionally done using HTML, CSS, jQuery Mobile, Eclipse Editor, and/or Xcode. The process can be cumbersome, from setting up your editor to optimizing your usage of jQuery, and so on. However, AngularJS, a new but highly popular JavaScript framework, eases these tasks with APIs to get access to mobile APIs such as notifications, geo-location, accelerometers, and more. Starting with the absolute basics of building an AngularJS application, this book will teach you how to quickly set up PhoneGap apps using the command-line interface.You will learn how to create simple to advanced to-do lists and add authentication capabilities using PhoneGap's plugins. You will enhance your skills by writing a PhoneGap app using your newly learned AngularJS skills. Furthermore, you will learn about adding animation and interactive designs to your mobile web apps using PhoneGap plugins. By the end of the book, you will know everything you need to launch your app on both Android and iOS devices. Spis treści: 1. An introduction to AngularJS2. Getting Ready for PhoneGap3. Adding Authentication capabilities with PhoneGap Plugins4. From Simple Todo List to Advanced To-do List5. Animations on our PhoneGap App6. Ready to Launch7. Appendix: Commonly used AngularJS References O autorze: Yuxian, Eugene Liang is a frontend engineer with working knowledge of UX and data mining / machine learning. He builds applications predominantly using JavaScript/Python, and (...) więcej related frameworks such as AngularJS, ReactJS, Node.js, Tornado, and Django. He led a team of two (including himself) to win Startup Weekend at Taiwan recently. He has also completed academic research on social network analysis (link prediction) using machine learning techniques, while interning as a frontend engineer at Yahoo!. To know more about him, visit https://www.liangeugene.com. mniej