• Classic Computer Science Problems in Python

  • By: David Kopec
  • Narrated by: Lisa Farina
  • Length: 5 hrs and 6 mins
  • 4.0 out of 5 stars (7 ratings)

Prime member exclusive:
pick 2 free titles with trial.
Pick 1 title (2 titles for Prime members) from our collection of bestsellers and new releases.
Access a growing selection of included Audible Originals, audiobooks and podcasts.
Your Premium Plus plan will continue for $14.95 a month after 30-day trial. Cancel anytime.
Classic Computer Science Problems in Python  By  cover art

Classic Computer Science Problems in Python

By: David Kopec
Narrated by: Lisa Farina
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $17.35

Buy for $17.35

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Publisher's Summary

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

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.

What's inside

  • 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 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) and Classic Computer Science Problems in Swift (Manning, 2018).

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

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2019 Manning Publications (P)2019 Manning Publications

What listeners say about Classic Computer Science Problems in Python

Average Customer Ratings
Overall
  • 4 out of 5 stars
  • 5 Stars
    3
  • 4 Stars
    2
  • 3 Stars
    1
  • 2 Stars
    1
  • 1 Stars
    0
Performance
  • 3.5 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    2
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    1
Story
  • 4 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    1
  • 3 Stars
    2
  • 2 Stars
    0
  • 1 Stars
    0

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    2 out of 5 stars
  • Performance
    1 out of 5 stars
  • Story
    3 out of 5 stars

very difficult to follow through any figures

I bought this audio book to accelerate my computer science problem solving skills but I found it very difficult to follow through any figures or code snippets... the narration creators need to find a creative way to include these special types of content in the narration, in a comprehensive and understandable way.

2 people found this helpful