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.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Python Programming and Visualization for Scientists 2nd Ed

Author: Alex DeCaria and Grant Petty
Publisher: Sundog Publishing
Pages: 372
ISBN: 978-0972903356
Print: 0972903356
Audience: Scientists wanting to use Python
Rating: 2
Reviewer: Mike James
Visualization - a difficult topic and difficult to see how to explain the ideas in a book.



Go Programming In Easy Steps

Author: Mike McGrath
Publisher: In Easy Steps
Date: January 2021
Pages: 192
ISBN: 978-1840789195
Print: 1840789190
Kindle: B08NF958NM
Audience: Non-programmers wanting to learn to code in Go
Rating: 5
Reviewer: Mike James
Getting going with Go - great idea!


More Reviews