Kyle Loudon – författare

C++ is a complex language with many subtle facets. This is especially true when it comes to object-oriented and template programming. The "C++ Pocket Reference" is a memory aid for C++ programmers, enabling them to quickly look up usage and syntax for unfamiliar and infrequently used aspects of the language. The book's small size makes it easy to carry about, ensuring that it will always be at-hand when needed. In the book, you will find: information on C++ types and type conversions; syntax for C++ statements and preprocessor directives; help declaring and defining classes, and managing inheritance; information on declarations, storage classes, arrays, pointers, strings, and expressions; and refreshers on key concepts of C++ such as namespaces and scope. It should be useful to Java and C programmers making the transition to C++, or who find themselves occasionally programming in C++. The three languages are often confusingly similar. This book enables programmers familiar with C or Java to quickly come up to speed on how a particular construct or concept is implemented in C++.Together with its companion "STL Pocket Reference, the C++ Pocket Reference" forms one of the most concise, easily-carried, quick-references to the C++ language available.

There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with C offers you a unique combination of theoretical background and working code. With robust solutions for everyday programming tasks, this book avoids the abstract style of most classic data structures and algorithms texts, but still provides all of the information you need to understand the purpose and use of common programming techniques.

Implementations, as well as interesting, real-world examples of each data structure and algorithm, are included.

Using both a programming style and a writing style that are exceptionally clean, Kyle Loudon shows you how to use such essential data structures as lists, stacks, queues, sets, trees, heaps, priority queues, and graphs. He explains how to use algorithms for sorting, searching, numerical analysis, data compression, data encryption, common graph problems, and computational geometry. And he describes the relative efficiency of all implementations. The compression and encryption chapters not only give you working code for reasonably efficient solutions, they offer explanations of concepts in an approachable manner for people who never have had the time or expertise to study them in depth.

Anyone with a basic understanding of the C language can use this book. In order to provide maintainable and extendible code, an extra level of abstraction (such as pointers to functions) is used in examples where appropriate. Understanding that these techniques may be unfamiliar to some programmers, Loudon explains them clearly in the introductory chapters.

Contents include:

PointersRecursionAnalysis of algorithmsData structures (lists, stacks, queues, sets, hash tables, trees, heaps, priority queues, graphs)Sorting and searchingNumerical methodsData compressionData encryptionGraph algorithmsGeometric algorithms

There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with C offers you a unique combination of theoretical background and working code. With robust solutions for everyday programming tasks, this book avoids the abstract style of most classic data structures and algorithms texts, but still provides all of the information you need to understand the purpose and use of common programming techniques.

Implementations, as well as interesting, real-world examples of each data structure and algorithm, are included.

Using both a programming style and a writing style that are exceptionally clean, Kyle Loudon shows you how to use such essential data structures as lists, stacks, queues, sets, trees, heaps, priority queues, and graphs. He explains how to use algorithms for sorting, searching, numerical analysis, data compression, data encryption, common graph problems, and computational geometry. And he describes the relative efficiency of all implementations. The compression and encryption chapters not only give you working code for reasonably efficient solutions, they offer explanations of concepts in an approachable manner for people who never have had the time or expertise to study them in depth.

Anyone with a basic understanding of the C language can use this book. In order to provide maintainable and extendible code, an extra level of abstraction (such as pointers to functions) is used in examples where appropriate. Understanding that these techniques may be unfamiliar to some programmers, Loudon explains them clearly in the introductory chapters.

Contents include:

PointersRecursionAnalysis of algorithmsData structures (lists, stacks, queues, sets, hash tables, trees, heaps, priority queues, graphs)Sorting and searchingNumerical methodsData compressionData encryptionGraph algorithmsGeometric algorithms

As web applications grow, so do the challenges. These applications need to live up to demanding performance requirements, and be reliable around the clock every day of the year. And they need to withstand frequent modifications by many different programmers. If you're building a mission-critical site, this book will help you achieve the same rigor in web applications that developers have traditionally applied to other types of software. Written by a manager at Yahoo who has substantial experience with the techniques presented in this book, "Developing Large Web Applications" provides you with practical steps for building sites that remain effective as they add features, functions, and users. Avoid the usual coding and maintenance headaches when small websites evolve and add pages, code, and programmers. Learn the virtues of modularity, encapsulation, abstraction, and loosely coupled components. Get comprehensive coverage of issues involving HTML, CSS, PHP, JavaScript and Ajax, and database interaction. Learn solid techniques in code management and software engineering that are often unknown or forgotten by web developers.

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 programmersGet comprehensive solutions for refining HTML, CSS, JavaScript, PHP, and Ajax for large-scale web applicationsMake changes in one place that ripple through all affected page elementsEmbrace the virtues of modularity, encapsulation, abstraction, and loosely coupled componentsUse tried-and-true techniques for managing data exchange, including working with forms and cookiesLearn often-overlooked best practices in code management and software engineeringPrepare your code to make performance enhancements and testing easier

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 programmersGet comprehensive solutions for refining HTML, CSS, JavaScript, PHP, and Ajax for large-scale web applicationsMake changes in one place that ripple through all affected page elementsEmbrace the virtues of modularity, encapsulation, abstraction, and loosely coupled componentsUse tried-and-true techniques for managing data exchange, including working with forms and cookiesLearn often-overlooked best practices in code management and software engineeringPrepare your code to make performance enhancements and testing easier