Grokking algorithms an illustrated guide for programmers and other curious people
He blogs on programming at adit.io. Do you want to treat yourself to learning algorithms in the same way that you would read your favorite novel? If so, this is the book you need! Sankar Ramanathan, IBM Analytics In today's world, there is no aspect of our lives that isn't optimized by som...
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| Format: | eBook |
| Language: | English |
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[Shelter Island, New York]
Manning Publications
2016
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| Edition: | [First edition] |
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | He blogs on programming at adit.io. Do you want to treat yourself to learning algorithms in the same way that you would read your favorite novel? If so, this is the book you need! Sankar Ramanathan, IBM Analytics In today's world, there is no aspect of our lives that isn't optimized by some algorithm. Let this be the first book you pick up if you want a well-explained introduction to the topic. Amit Lamba, Tech Overture, LLC Algorithms are not boring! This book was fun and insightful for both my students and me. Christopher Haupt, Mobirobo, Inc NARRATED BY DEREK LETTMAN "This book does the impossible: it makes math fun and easy!" Sander Rossel, COAS Software Systems Grokking Algorithms is a friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, you are at the right place. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. Inside: Covers search, sort, and graph algorithms Performance trade-offs between algorithms Python-based code samples This easy-to-listen introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. |
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| Physical Description: | 1 audio file (03 hr., 47 min.) |