- Paperback: 256 pages
- Publisher: Manning Publications; 1 edition (May 2016)
- Language: English
- ISBN-10: 1617292230
- ISBN-13: 978-1617292231
- Product Dimensions: 7.3 x 0.5 x 9.2 inches
- Shipping Weight: 12.6 ounces (View shipping rates and policies)
- Average Customer Review: 4.6 out of 5 stars See all reviews (53 customer reviews)
- Amazon Best Sellers Rank: #11,232 in Books (See Top 100 in Books)
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Grokking Algorithms: An illustrated guide for programmers and other curious people 1st Edition
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From the Publisher
Who Should Read This Book
This book is aimed at anyone who knows the basics of coding and wants to understand algorithms. Maybe you already have a coding problem and are trying to find an algorithmic solution. Or maybe you want to understand what algorithms are useful for. Here’s a short, incomplete list of people who will probably find this book useful:
- Hobbyist coders
- Coding boot camp students
- Computer science grads looking for a refresher
- Physics/math/other grads who are interested in programming
About this Book
This book is designed to be easy to follow. I avoid big leaps of thought. Any time a new concept is introduced, I explain it right away or tell you when I’ll explain it. Core concepts are reinforced with exercises and multiple explanations so that you can check your assumptions and make sure you’re following along.
I lead with examples. Instead of writing symbol soup, my goal is to make it easy for you to visualize these concepts. I also think we learn best by being able to recall something we already know, and examples make recall easier. So when you’re trying to remember the difference between arrays and linked lists (explained in chapter 2), you can just think about getting seated for a movie. Also, at the risk of stating the obvious, I’m a visual learner. This book is chock-full of images.
The contents of the book are carefully curated. There’s no need to write a book that covers every sorting algorithm—that’s why we have Wikipedia and Khan Academy. All the algorithms I’ve included are practical. I’ve found them useful in my job as a software engineer, and they provide a good foundation for more complex topics. Happy reading!
About the Author
Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs about programming at adit.io.
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Top customer reviews
Let's hope the author keeps this up with a "Grokking" series covering other CS/Dev topics.
BTW, the book includes an insert with a code for a free e-book version. I overlooked that on first reading; it's a nice addition if you want to add a portable electronic copy for quick reference.
Overall – it took me short of a week to get through the text, and I can honestly say that I feel a great sense now of how all things come together. An amazing intro the deeper depths of CS, and even greater teaser into what is machine learning. Bravo!
Binding sucks though.