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

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Features
Illustrated
ISBN
9781617292231
Subject Area
Computers
Publication Name
Grokking Algorithms : an Illustrated Guide for Programmers and Other Curious People
Publisher
Manning Publications Co. LLC
Item Length
9.2 in
Subject
Programming / Games, Software Development & Engineering / General, Programming / Algorithms, Computer Science
Publication Year
2016
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.6 in
Author
Aditya Bhargava
Item Weight
15.2 Oz
Item Width
7.4 in
Number of Pages
256 Pages

About this product

Product Identifiers

Publisher
Manning Publications Co. LLC
ISBN-10
1617292230
ISBN-13
9781617292231
eBay Product ID (ePID)
211277065

Product Key Features

Number of Pages
256 Pages
Publication Name
Grokking Algorithms : an Illustrated Guide for Programmers and Other Curious People
Language
English
Publication Year
2016
Subject
Programming / Games, Software Development & Engineering / General, Programming / Algorithms, Computer Science
Type
Textbook
Subject Area
Computers
Author
Aditya Bhargava
Format
Trade Paperback

Dimensions

Item Height
0.6 in
Item Weight
15.2 Oz
Item Length
9.2 in
Item Width
7.4 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2016-285111
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.1
Synopsis
KEY SELLING POINTS Disarming take on a core computer science topic Carefully presented examples Helpful diagrams and fully annotated code samples AUDIENCE This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Code examples are written in Python., 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 Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors, 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 Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors, DESCRIPTION Algorithms nothing more than step-by-step procedures for solving problems and most algorithms used by programmers have already been discovered, tested, and proven. Those wanting to take a hard pass on Knuth's brilliant but impenetrable theories, and the dense multi-page proofs found in most textbooks, will want to read Grokking Algorithms . This fully-illustrated and engaging guide makes it easy to learn how to use algorithms effectively. Grokking Algorithms is a disarming take on a core computer science topic and shows readers how to apply common algorithms to practical problems faced in the day-to-day life of a programmer. It starts with problems like sorting and searching and builds up skills in thinking algorithmically. Then it tackles more complex concerns such as data compression or artificial intelligence. Whether writing business software, video games, mobile apps, or system utilities, readers will learn algorithmic techniques for solving problems that they thought were out of reach. By the end of this book, they will know some of the most widely applicable algorithms, as well as how and when to use them. KEY SELLING POINTS Disarming take on a core computer science topic Carefully presented examples Helpful diagrams and fully annotated code samples AUDIENCE This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Code examples are written in Python. ABOUT THE TECHNOLOGY Algorithms are nothing more than step-by-step procedures for solving problems. They can make writing code faster, or make it possible to write code that might not have been able to be written without them.
LC Classification Number
QA76.9.A43

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  • by kakritselis
    May 26, 2020

    an easy approach to learning algorithms

    A great book, with an easy approach to learning algorithms. Conversational language and fun illustrations.

    Verified purchase: YesCondition: Pre-OwnedSold by: greatbookprices2

  • by shasdha-22
    Jun 08, 2021

    Short but important content on algorithms

    Very useful but sometimes too costly

    Verified purchase: YesCondition: Pre-OwnedSold by: thedeep88

  • by cHFLby_gSSy@Deleted
    Nov 17, 2020

    Great read with images representation. A must have.

    Verified purchase: YesCondition: Pre-OwnedSold by: flexfull571

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