Classic Computer Science Problems in Python (Manning)
Wednesday, 01 September 2021

This book aims to sharpen your coding skills by exploring established computer science problems. David Kopec challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities and improve your understanding of artificial intelligence.

<ASIN:1617295981>

Examples range from simple tasks like binary search algorithms to clustering data using k-means, along with examples for web development, machine learning and more with the intention of highlighting classic solutions to "new" problems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Author: David Kopec
Publisher: Manning
Date: March 2019
Pages: 224
ISBN: 978-1617295980
Print: 1617295981
Kindle: ‎ ‎ B09782BT4Q
Audience: Python developers
Level: Intermediate
Category: Python

  • Search algorithms
  • Common techniques for graphs
  • Neural networks
  • Genetic algorithms
  • Adversarial search
  • Uses type hints throughout

 

See Classic Computer Science Problems in Java for a review of the companoin volume in Java

 

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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Pages: 370
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Print: 1683922093
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