• Title Mastering Ajax
• Author(s) Jerry Lee Ford, Jr.
• Publisher: IBM
• Paperback N/A
• eBook HTML
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
• Share This:  

Book Description

Ajax, which consists of HTML, JavaScript technology, DHTML, and DOM, is an outstanding approach that helps you transform clunky Web interfaces into interactive Ajax applications.

The author, an Ajax expert, demonstrates how these technologies work together - from an overview to a detailed look - to make extremely efficient Web development an easy reality. He also unveils the central concepts of Ajax, including the XMLHttpRequest object.

Mastering Ajax explains how to use standards like JavaScript, XML, CSS, and XHTML, along with the XMLHttpRequest object, to build browser-based web applications that function like desktop programs. You get a complete background on what goes into today's web sites and applications, and learn to leverage these tools along with Ajax for advanced browser searching, web services, mashups, and more. You discover how to turn a web browser and web site into a true application, and why developing with Ajax is faster, easier and cheaper.

• Brett McLaughlin is a bestselling and award-winning non-fiction author. His books on computer programming, home theater, and analysis and design have sold in excess of 100,000 copies. He has been writing, editing, and producing technical books for nearly a decade, and is as comfortable in front of a word processor as he is behind a guitar, chasing his two sons and his daughter around the house, or laughing at reruns of Arrested Development with his wife.

• Amazon

• Ajax and Web 2.0
• JavaScript, jQuery, CoffeeScript, Node.js, etc.
• HTML, DHTML and XHTML
• XML and XSL
• Cascading Style Sheets (CSS)
• Web Programming

• Mastering Ajax: Introduction to Ajax (Jerry Lee Ford, Jr.)
• The Mirror Site (1) - PDF
• The Mirror Site (2) - PDF

• AJAX: Creating Web Pages with Asynchronous JavaScript and XML

  You'll explore what can be done with Ajax to enhance sites and give them a Web 2.0 feel, and how additional JavaScript enhancements can turn a web browser and web site into a true application.

• WordPress and Ajax: An In-depth Guide (Ronald Huereca)

  This book is a comprehensive view on using Ajax with WordPress. It covers Ajax like you've never seen before. Itcontains three real-life examples that provide the rationale and logic behind coding decisions, , the reasons for Ajax's use, etc.

• O'Reilly® Ajax Design Patterns (Michael Mahemoff)

  This book shows you best practices that can dramatically improve your web development projects using Ajax. It investigates how others have successfully dealt with conflicting design principles in the past and more.

• AJAX and PHP: Building Responsive Web Applications (C. Darie)

  Assuming a basic knowledge of PHP, XML, JavaScript and MySQL, this book will help you understand how the heart of AJAX beats and how the constituent technologies work together.

• Aspects of AJAX (Matthias Hertel)

  This book offers a big picture overview to introduce Ajax, and then explores the use of individual Ajax components - including the JavaScript event model, DOM, XML, JSON, and more.

• O'Reilly® Unobtrusive Ajax (Jesse Skinner)

  It focuses on the practical benefits of using Ajax and JavaScript unobtrusively and show you that unobtrusive web development and progressive enhancement benefit both web developers and users of the Web.

• Foundations of Machine Learning (Mehryar Mohri, et al)

  This book is a general introduction to machine learning. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms.

• Machine Learning Yearning (Andrew Ng)

  You will learn how to align on ML strategies in a team setting, as well as how to set up development (dev) sets and test sets. After finishing this book, you will have a deep understanding of how to set technical direction for a machine learning project.

• Understanding Machine Learning: From Theory to Algorithms

  Explains the principles behind the automated learning approach and the considerations underlying its usage. Provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations.

• Reinforcement Learning: An Introduction, Second Edition

  It provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes.

• Probabilistic Machine Learning: An Introduction (Kevin Murphy)

  This book is a comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. It is written in an informal, accessible style, complete with pseudo-code for the most important algorithms.