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Grokking Algorithms PDF Download

If you are looking for Grokking Algorithms PDF Download written by Aditya Bhargava, then you have reached the right place.

About Grokking Algorithms PDF Download

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
 

Product details

  • Publisher : Manning Publications; 1st edition (30 May 2016)
  • Language : English
  • Paperback : 256 pages
  • ISBN-10 : 1617292230
  • ISBN-13 : 978-1617292231
  • Item Weight : 447 g
  • Dimensions : 18.75 x 1.02 x 23.5 cm
 

About the Author

Grokking Algorithms PDF Download: Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs about programming at adit.io.

Grokking Algorithms PDF Download: All PDFs which are provided here are for Education purposes only. Please utilize them for building your knowledge and don’t make them Commercial. We request you to respect our Hard Work. Our Intention is to provide free Study Materials for all Aspirants and we believe Education Should be free for All, and for the same reason, we gathered everything and assembled in one place.

Summary Of Grokking Algorithms PDF

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.

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