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A friendly, fully-illustrated introduction to the most important computer programming algorithms. Suitable for self-taught programmers, engineers, job seekers, or anyone who wants to brush up on algorithms.
From the Back Cover
Grokking Algorithms, Second Edition makes it easy to learn. You'll never be bored - complex concepts are all explained through fun cartoons and memorable examples that make them stick. You'll start with tasks like sorting and searching, then build your skills to tackle more advanced problems like data compression and artificial intelligence.
This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees and more. You'll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book's fully annotated code samples have been updated to Python 3. By the time you reach the last page, you'll have mastered the most widely applicable algorithms, know when and how to use them, and be fully prepared when you’re asked about them on your next job interview.
About the reader
Suitable for self-taught programmers, engineers, job seekers, or anyone who wants to brush up on algorithms.
A friendly, fully-illustrated introduction to the most important computer programming algorithms.
The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. This book will prepare you for those pesky algorithms questions in every programming job interview and help you apply them in your day-to-day work. And if you want to understand them without slogging through dense multipage proofs, this is the book for you.
In Grokking Algorithms, Second Edition you will discover:
The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This new edition now includes fresh coverage of trees, NP complete problems, and code updates to Python 3. With easy-to-read, friendly explanations, clever examples, and exercises to sharpen your skills as you learn, you’ll actually enjoy learning these important algorithms.
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