Bradley Jones

Max Mancini : eBay -- Alan Meckler : Internet.com -- Eric Engleman : Bloglines -- Gina Bianchini : Ning -- Dorion Carroll : Technorati -- Raju Vegesna : Zoho -- Richard MacManus : Read/write Web & Web 2.0 Workgroup -- TJ Kang : Thinkfree -- Patrick Crane : LinkedIn -- Shaun Walker : DotNetNuke -- Biz Stone : Twitter -- Seth Sternberg : Meebo -- Joshua Schachter : del.icio.us -- Ranjith Kumaran : YouSendIt -- Garrett Camp : StumbleUpon -- Rodrigo Madanes : Skype -- Rod Smith : IBM Corporation -- Tim Harris : Microsoft Corporation -- Bob Brewin & Tim Bray : Sun Microsystems -- Michele Turner : Adobe Systems Incorporated

Interviews with 20 Web 2.0 Influencers

Web 2.0 Heroes

Gregory L. Guntle

The perfect tutorial for C programmers wanting to take their skills to the next level! Designed to be the follow-up tutorial to the successful Teach Yourself C in 21 Days.-- Uses lots of visual elements such as shaded syntax boxes, notes boxes, and line-by-line descriptions of the program examples-- Introduces carefully planned series of lessons, quizzes, exercises, and workshops to motivate and reinforce learning

Teach Yourself Advanced C in 21 Days

Peter G. Aitken

Erik De Castro Lopo

This text aims to enable the reader to program in the Linux operating system and solve real-world Linux programming problems in just 21 days. It is designed to make the transition to Linux programming simple, with numerous examples and a step-by-step approach.

Sams Teach Yourself C for Linux Programming in 21 Days

This book covers the basics of C, including variables, constants, conditional statements, loops, pointers, data structures, input/ouput, and functions--all presented in a logical and easy-to-follow sequence that helps readers really understand the principles involved in developing programs.

Teach Yourself C Programming in 21 Days

Dean Miller

Provides instructions organized into twenty-two one hour lessons for programming in C, and includes real-world examples, quizzes and exercises to test knowledge, and tips on implementing C in any environment.

Sams Teach Yourself C Programming in One Hour a Day

Users can achieve C success--now! Each of the day-by-day lessons includes clear syntax examples and can be completed in two to three hours. Shaded syntax boxes offer quick summaries of all C statements. Special sections answer commonly-asked programming questions, reinforce important topics, and help users avoid hard-to-track bugs. (Sams)

Teach Yourself C in 21 Days

Sams Teach Yourself C in 21 Days, Fifth Edition presents C programming techniques in a logical and easy-to-follow sequence that helps you understand the principles involved in developing C programs. Learn the basics of writing a program, then move on to arrays, pointers, disk input/output, functions, and more. This book covers the basics of C including variables, constants, conditional statements, loops, pointers, data structures, input/output, and functions. Sams Teach Yourself C in 21 Days, Fifth Edition, presents C in the most logical and easy-to-learn sequence, and is geared towards programmers learning the C language.

Sams Teach Yourself C in 21 Days

With its ever-expanding installed base, C continues to be one of the most popular programming languages on the market. The "Teach Yourself . . ". series continues to be one of the most popular ways to learn a programming language, and with the success of the previous editions of this book, this fourth edition is clearly headed for the bestseller list.

This complete learning edition includes a CD with all code examples and an ANSI-compliant C compiler. The C programming language is the grandfather of most modern structured programming languages such as Java, C++, and Pascal.

United States. Civil Aeronautics Administration

Benarthur Castle Haynes

Norman O. Anderson

Meteorology for Pilots

This book will take you, step by step, through learning C#, the computer industry's newest and most productive language. This complete guide covers topics from basic program construction to intermediate level application engineering. Following "21 days" formula, this book is a three week intensive course for the beginning programmer who wishes to get started with this exiting new coding standard. The comprehensive lesson plan will enable the reader to understand, design and build applications that are compatible with the new Microsoft .net framework.

Sams Teach Yourself C# in 21 Days

Peter Goos

"This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University "It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities? While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.

Bradley Jones

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