Bad Choices: How Algorithms Can Help You Think Smarter and Live Happier by Ali Almossawi

Bad Choices: How Algorithms Can Help You Think Smarter and Live Happier

Ali Almossawi
John Murray Publishers Ltd
Apr 2017
Paperback
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A relatable, interactive, and funny exploration of algorithms, those essential building blocks of computer science - and of everyday life - from the author of the wildly popular Bad Arguments. Algorithms -- processes that are made up of unambiguous steps and do something useful -- make up the very foundations of computer science. Yet, they also inform our choices in approaching everyday tasks, from managing a pile of clothes fresh out of the dryer to deciding what music to listen to. With Bad Choices, Ali Almossawi, presents twelve scenes from everyday life that help demonstrate and demystify the fundamental algorithms that drive computer science, bringing these seemingly elusive concepts into the understandable realms of the everyday. Readers will discover how: · Matching socks can teach you about search and hash tables · Planning trips to the store can demonstrate the value of stacks · Deciding what music to listen to shows why link analysis is all-important · Crafting a succinct Tweet draws on ideas from compression · Making your way through a grocery list helps explain priority queues and traversing graphs · And more As you better understand algorithms, you'll also discover what makes a method faster and more efficient, helping you become a more nimble, creative problem-solver, ready to face new challenges. Bad Choices will open the world of algorithms to all readers making this a perennial go-to for fans of quirky, accessible science books.
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An excellent introduction to many of the key ideas in computer science

The book presents various important topics from computer science through the lens of (albeit sometimes somewhat contrived) real-world problems. This book will not make the reader an expert in algorithms or teach them how to actually implement any particular algorithm in computer code, but it does elucidate the thought process behind solving some complex problems in a novice-friendly way. I especially like the emphasis the author puts on studying the performance of solutions as a function of input size - this is a concept that often evades newcomers but it is laid out very clearly along with excellent illustrations in this book. I strongly recommend this book for an interested amateur or for any student taking a beginning course in computer science that wants some supplementary exposure to many of the key ideas in the subject. I am planning on using this book as a required supplementary reading material for my AP Computer Science Principles class next year, several of the chapters fit perfectly along with the curriculum for that course. Read more

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About this book
Publisher John Murray Publishe...
Published 2017
Readers 4