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Developing Large Web Applications: Producing Code That Can Grow and Thrive

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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
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical Models

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using...

Mastering OpenStack
Mastering OpenStack

Design, deploy, and manage a scalable OpenStack infrastructure

About This Book

  • Learn how to design and deploy an OpenStack private cloud using automation tools and best practices
  • Gain valuable insight into OpenStack components and new services
  • Explore the opportunities to...
The Relational Model for Database Management: Version 2
The Relational Model for Database Management: Version 2
Today, if you have a well-designed database management system, you have the keys to the kingdom of data processing and decision support. That is why there now exists a prototype machine whose complete design is based on the relational model. Its arithmetic hardware is a quite minor part of thearchitecture. In fact, the old term "computer...

Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition (Studies in Computational Intelligence)
Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition (Studies in Computational Intelligence)

We describe in this book, hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce...

Lotus(R) Notes(R) Developer's Toolbox: Tips for Rapid and Successful Deployment
Lotus(R) Notes(R) Developer's Toolbox: Tips for Rapid and Successful Deployment

Lotus® Notes® Developer’s Toolbox will help you streamline and improve every phase of Notes development. Leading IBM Lotus Notes developer Mark Elliott systematically identifies solutions for the key challenges Notes developers face,...

Learning SQL
Learning SQL
Updated for the latest database management systems -- including MySQL 6.0, Oracle 11g, and Microsoft's SQL Server 2008 -- this introductory guide will get you up and running with SQL quickly. Whether you need to write database applications, perform administrative tasks, or generate reports, Learning SQL, Second...
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