Additional information
by Kyle Loudon (Author)
How do you create a mission-critical site that provides exceptional performance while remaining flexible, adaptable, and reliable 24/7? Written by the manager of a UI group at Yahoo , Developing Large Web Applications offers practical steps for building rock-solid applications that remain effective even as you add features, functions, and users. You'll learn how to develop large web applications with the extreme precision required for other types of software.
- Avoid common coding and maintenance headaches as small websites add more pages, more code, and more programmers
- Get comprehensive solutions for refining HTML, CSS, JavaScript, PHP, and Ajax for large-scale web applications
- Make changes in one place that ripple through all affected page elements
- Embrace the virtues of modularity, encapsulation, abstraction, and loosely coupled components
- Use tried-and-true techniques for managing data exchange, including working with forms and cookies
- Learn often-overlooked best practices in code management and software engineering
- Prepare your code to make performance enhancements and testing easier
Author Biography
Kyle Loudon is a software developer at Yahoo! where he leads a group doing user interface development. Some of Kyle's experiences prior to joining Yahoo! include working on the user interface for the original Apple iPod, writing software for various other mobile devices, and leading the user interface group at Jeppesen Dataplan (a Boeing company) in the development of a flight planning system used by airlines around the world. He also spent a small amount of time with IBM in the early 1990s. For several years, he has taught object-oriented programming part-time at the University of California, Santa Cruz while working as a software developer in Silicon Valley.Kyle received a B.S. in Computer Science from Purdue University in 1992 with a minor in French, and was elected there to the Phi Beta Kappa honor society. He has also done some advanced education in Computer Science at Stanford University.
