Download E-books Grokking Algorithms: An illustrated guide for programmers and other curious people PDF

Summary

Grokking Algorithms is a completely 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 commence with sorting and looking out and, as you building up your abilities in considering algorithmically, you will take on extra advanced matters resembling information compression and synthetic intelligence. every one rigorously offered instance contains invaluable diagrams and entirely annotated code samples in Python.

Learning approximately algorithms does not must be dull! Get a sneak peek on the enjoyable, illustrated, and pleasant examples you can find in Grokking Algorithms on Manning courses' YouTube channel.

Purchase of the print publication contains a loose booklet 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 method for fixing an issue. The algorithms you are going to use in general as a programmer have already been came upon, proven, and confirmed. so as to comprehend them yet refuse to slog via dense multipage proofs, this can be the booklet for you. This absolutely illustrated and fascinating advisor makes it effortless to profit tips to use an important algorithms successfully on your personal programs.

About the Book

Grokking Algorithms is a pleasant tackle this center computing device technological know-how subject. In it, you will find out how to follow universal algorithms to the sensible programming difficulties you face each day. you are going to begin with projects like sorting and looking. As you building up your talents, you will take on extra advanced difficulties like info compression and synthetic intelligence. each one conscientiously awarded instance contains invaluable diagrams and completely annotated code samples in Python. via the top of this ebook, you've mastered extensively appropriate algorithms in addition to how and whilst to take advantage of them.

What's Inside

  • Covers seek, kind, and graph algorithms
  • Over four hundred photos with precise walkthroughs
  • Performance trade-offs among algorithms
  • Python-based code samples

About the Reader

This easy-to-read, picture-heavy creation is acceptable for self-taught programmers, engineers, or an individual who desires to brush up on algorithms.

About the Author

Aditya Bhargava is a software program Engineer with a twin heritage in machine technology and high-quality 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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