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Classic Computer Science Problems in Python
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  • Title Classic Computer Science Problems in Python
  • Author(s) David Kopec
  • Publisher:Manning Publications; 1st edition (March 15, 2019)
  • Permission: Free to read entire book online by the publisher (Manning), limited time every day.
  • Hardcover/Paperback 224 pages
  • eBook HTML
  • Language: English
  • ISBN-10/ASIN: 1617295981
  • ISBN-13: 978-1617295980
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Book Description

This book deepens your knowledge of problem-solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems!

Computer science problems that seem new or unique are often rooted in classic algorithms, coding techniques, and engineering principles. And classic approaches are still the best way to solve them! Understanding these techniques in Python expands your potential for success in web development, data munging, machine learning, and more.

  • Search algorithms
  • Common techniques for graphs
  • Neural networks
  • Genetic algorithms
  • Adversarial search
  • Uses type hints throughout
  • Covers Python 3.7

For intermediate Python programmers.

About the Authors
  • David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont.
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