Pro Html5 Performance

Pro HTML5 Performance provides a practical guide to building extremely fast, light-weight and scalable websites using fully standards compliant techniques and best practices. It strikes a balance between imparting best-practice information for when you're building ground up and instantly applicable techniques to help you solve issues with your existing projects. In addition to a wealth of tips, tricks and secrets you'll find advice and code samples that elegantly layout the problems your facing and the best ways of solving them. By reading Pro HTML5 Performance you'll squeeze every last ounch of performance from your code, giving your applications unrivalled speed and cost-efficiency. What you'll learn Optimize your HTML5, CSS, and JavaScript for client-side performance Reduce your code's bandwidth to achieve both speed and cost savings Learn to target multiple devices from the same page See how your HTML5 content can gracefully degrade to older browsers Create advanced applications, such as animations, with a light footprint Make HTML5's semantic markup work for you Who this book is for

This book is ideal for front-end programmers who know the basics but who want to master the techniques for creating high-performance web sites. It is equally applicable to people who want to architect big sites 'right first time' or those that want to apply some of the concepts to their existing site to make it run a bit faster or same them a little money. Whether you go 'all out' and use everything or just apply some concepts to your existing sites is up to you. Table of Contents Getting Started Overview Performance Guidelines Single Code Base Responsive Design Boilerplate Navigation Masthead Footer Using Components Insets Buttons Article/Product Stack/Teasers Tables Tabs Carousel Input Types Section IV: Mobile Frameworks

Jay Bryant has been writing about and programming computers in a variety of languages since 1987. He has written for General Electric, Motorola, 3M, Pitney Bowes, and others. He has programmed for Logical Information Machines (a Morningstar company), the Boston Globe, and others.