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Classic Computer Science Problems in Python

Classic Computer Science Problems in Python

Classic Computer Science Problems in Python Paperback / softback -

by David Kopec

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Paperback / softback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means.   Classic Computer Science Prob
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Details

  • Title Classic Computer Science Problems in Python
  • Author David Kopec
  • Binding Paperback
  • Condition New
  • Pages 224
  • Volumes 1
  • Language ENG
  • Publisher Manning Publications
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # ria9781617295980_inp
  • ISBN 9781617295980 / 1617295981
  • Weight 0.8 lbs (0.36 kg)
  • Dimensions 9.2 x 7.4 x 0.5 in (23.37 x 18.80 x 1.27 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects Python (Computer program language), Computer programming
  • Dewey Decimal Code 005.262
  • Quantity available 3

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From the publisher

"Highly recommended to everyone interested in deepening their understanding of Python and practical computer science." Key Features > Master formal techniques taught in college computer science classes > Connect computer science theory to real-world applications, data, and performance > Prepare for programmer interviews > Recognize the core ideas behind most "new" challenges > Covers Python 3.7 Note: Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About The Book

Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the "new" problems you'll face when you start your next project.

In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time.

What You Will Learn

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

This Book Is Written For

For intermediate Python programmers.

About The Author

David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020)

Table of Contents

1. Small problems
2. Search problems
3. Constraint-satisfaction problems
4. Graph problems
5. Genetic algorithms
6. K-means clustering
7. Fairly simple neural networks
8. Adversarial search
9. Miscellaneous problems

About the author

David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning's Classic Computer Science Problems in Swift.

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