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  • Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People

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Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People

by Aditya Bhargava (Author) Format: Paperback
4.6 out of 5 stars (1,557)
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Summary

Grokking Algorithms is a fully illustrated, 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.

Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel.

Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-​in-motion).

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

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, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs.

About the Book

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.

What's Inside
  • Covers search, sort, and graph algorithms
  • Over 400 pictures with detailed walkthroughs
  • Performance trade-offs between algorithms
  • Python-based code samples

About the Reader

This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms.

About the Author

Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io.

Table of Contents

  1. Introduction to algorithms
  2. Selection sort
  3. Recursion
  4. Quicksort
  5. Hash tables
  6. Breadth-first search
  7. Dijkstra's algorithm
  8. Greedy algorithms
  9. Dynamic programming
  10. K-nearest neighbors.
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  1. ISBN-10
    1617292230
  2. ISBN-13
    978-1617292231
  3. Edition
    First Edition
  4. Publisher
    Manning
  5. Publication date
    May 1, 2016
  6. Language
    English
  7. Dimensions
    7.38 x 0.6 x 9.25 inches
  8. Print length
    256 pages
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From the Publisher

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!

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.

Who Should Read This Book

  • Hobbyist coders
  • Coding boot camp students
  • Computer science grads looking for a refresher
  • Physics/math/other grads who are interested in programming
Grokking Algorithms
Grokking Deep Learning
Customer Reviews
4.6 out of 5 stars 1,557
4.2 out of 5 stars 175
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Editorial Reviews

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.

Product details

  • Publisher ‏ : ‎ Manning
  • Publication date ‏ : ‎ May 1, 2016
  • Edition ‏ : ‎ First Edition
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 256 pages
  • ISBN-10 ‏ : ‎ 1617292230
  • ISBN-13 ‏ : ‎ 978-1617292231
  • Item Weight ‏ : ‎ 14.1 ounces
  • Dimensions ‏ : ‎ 7.38 x 0.6 x 9.25 inches
  • Best Sellers Rank: #158,820 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.6 out of 5 stars (1,557)

About the authors

Follow authors to get new release updates, plus improved recommendations.
Previous page
  1. Daniel Zingaro

    Daniel Zingaro

    Brief content visible, double tap to read full content.
    Full content visible, double tap to read brief content.

    Dr. Daniel Zingaro is an associate teaching professor of computer science and award-winning teacher at the University of Toronto. His main area of research is computer science education, where he studies how to improve Computer Science teaching and learning.

    He has written books on competitive programming, algorithms, Python, and GitHub Copilot and ChatGPT. So, in his professional life he has convinced people that he knows what he's doing -- but his choice of hobbies leads people to question his overall intelligence (see, for example, his skydiving video on YouTube).

    See more on the author's page
  2. Aditya Bhargava

    Aditya Bhargava

    Brief content visible, double tap to read full content.
    Full content visible, double tap to read brief content.

    TalkPython interviewed me about Grokking Algorithms! Listen here: https://talkpython.fm/episodes/show/82/grokking-algorithms-in-python

    I've been drawing and programming for the last two decades, and enjoy both very much. I started coding by making video games in Basic and ActionScript, and I sold my first game at age 14. After getting my MS from UChicago, I've been working at startups that align with my interests: books (Scribd) and art (Etsy). I'm currently a Staff Engineer at Etsy, where I help our sellers sell more goods.

    I have been teaching for the last seven years. I started by teaching the Intro to Python class at Noisebridge. Over the years, I have tried to understand how to break down hard concepts so that they are easy to learn. My first book, Grokking Algorithms, came out in 2016. I blog at adit.io and tweet at @_egonschiele.

    See more on the author's page
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