Interviewing fora programming job requires special preparation for solving difficult programming problems. This helpful guide will give you the tools necessary to breeze through the test and make a lasting impression that will land you the job!

This guide aims to offer everything a programmer needs to know to survive the programmer's interview based on the authors' own interview experience over 1999. It provides the tools necessary to breeze through the test and make a lasting impression that will land the job.

Everything you need to know to succeed in the programming interview and get the job you want Whether you are a veteran programmer seeking a new position or a whiz kid starting your career, interviewing for a programming job requires special preparation. The interview is likely to consist of an hour-long interactive oral exam in computers, programming, and logic. This helpful guide will give you the tools necessary to breeze through the test and make a lasting impression that will get you a top-dollar offer

Mongan and Suojanen take you step-by-step through the same problems that they were asked on technical interviews. These veterans use their experience with the technical interview process to prepare you for any situation. With their help, you' ll gain critical interviewing skills such as how to ask effective questions, how to best approach a problem, and what to do when you get stuck. Integrated throughout the book are problems

taken from real interviews at top computer companies, followed by an in-depth analysis and explanation of the thought process leading to solutions. By focusing on techniques and not just answers, you' ll be able to apply what you learn to the wide variety of problems you will face during an interview. The problems included in this book will challenge your programming skills and help you ace the programming interview Problem types include:

• Programming problems with emphasis on data structures and recursion
• Logic puzzles, counting and measuring problems, and spatial reasoning
• Knowledge-based problems that cover today' s most important technologies

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