Download Grokking Algorithms: An illustrated guide for programmers and other curious people, by Aditya Bhargava
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Grokking Algorithms: An illustrated guide for programmers and other curious people, by Aditya Bhargava
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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.
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
- Sales Rank: #12752 in Books
- Published on: 2016-05
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x .50" w x 7.30" l, .0 pounds
- Binding: Paperback
- 256 pages
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.
Most helpful customer reviews
13 of 14 people found the following review helpful.
Good introduction to the topic
By D. Kittrell
An excellent introductory text.. While it won't replace formal, traditional, approaches to the subject this is near perfect if you're looking for a quick overview covering key algorithms, Big-O notation and its implications for various approaches, low-math and minimal jargon, and a bit of fun. The illustrations and diagrams are hand-drawn and well-suited to the content style (as well as being clear and simple to follow). If you're looking for a formal introduction or an academic approach this isn't the book for you but it gets the job done as a solid introductory text. I try to keep up with books on a variety of CS/Dev subjects both for myself and to check out new texts for others; this one I'll be highly recommending.
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.
3 of 3 people found the following review helpful.
Visual learners start here
By Ron V
I'm not big on rating things, but I had to for this amazing book. This is by far the best introduction to algorithms out there, especially if you have not encountered them before. If you're a dev new to coding from some other field and lack a CS background, start here. If you are a VISUAL LEARNER, start here. If you like light, easy text to get acquainted with an idea, start here. If you want to learn the basics and learn them well, start here. After you read this book you'll be ready for the more dense ones.
2 of 2 people found the following review helpful.
Light-hearted and enjoyable intro to a tough topic - but watch out for code bugs!
By Robert Willis
Very enjoyable, light-hearted overview of a central (and often very dry) topic in computer science. The author's enthusiasm shines through, and helps to motivate the reader as well. I believe there are some minor bugs here and there, however, in the Python source code. For example, in the binary search source code early in the book (on page 9, I believe), the calculation of the variable "mid" neglects to divide the sum of "high" and "low" by 2 - readers would do well to keep their eyes open to this when actually entering the source code into their machines! Overall, though, a great way to get an introduction to an important topic.
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