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Grokking Algorithms is an absolutely illustrated, pleasant advisor that teaches you the way to use universal algorithms to the sensible difficulties you face each day as a programmer. you are going to begin with sorting and looking and, as you building up your abilities in pondering algorithmically, you will take on extra advanced matters akin to facts compression and synthetic intelligence. every one rigorously provided instance contains worthy diagrams and entirely annotated code samples in Python.

Learning approximately algorithms does not need to be uninteresting! Get a sneak peek on the enjoyable, illustrated, and pleasant examples you will discover in Grokking Algorithms on Manning guides' YouTube channel.

Purchase of the print ebook contains a loose e-book in PDF, Kindle, and ePub codecs from Manning Publications.

About the Technology

An set of rules is not anything greater than a step by step process for fixing an issue. The algorithms you will use in most cases as a programmer have already been found, demonstrated, and confirmed. for you to comprehend them yet refuse to slog via dense multipage proofs, this is often the publication for you. This absolutely illustrated and fascinating advisor makes it effortless to profit how one can use crucial algorithms successfully on your personal programs.

About the Book

Grokking Algorithms is a pleasant tackle this center desktop technological know-how subject. In it, you will easy methods to observe universal algorithms to the sensible programming difficulties you face each day. you will commence with initiatives like sorting and looking. As you increase your abilities, you will take on extra advanced difficulties like info compression and synthetic intelligence. every one rigorously awarded instance contains useful diagrams and entirely annotated code samples in Python. via the top of this booklet, you have got mastered largely appropriate algorithms in addition to how and whilst to exploit them.

What's Inside

  • Covers seek, type, and graph algorithms
  • Over four hundred images with specified walkthroughs
  • Performance trade-offs among algorithms
  • Python-based code samples

About the Reader

This easy-to-read, picture-heavy creation is appropriate for self-taught programmers, engineers, or a person who desires to brush up on algorithms.

About the Author

Aditya Bhargava is a software program Engineer with a twin history in laptop technological know-how and effective 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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