Classic Computer Science Problems in Python

by David Kopec

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Book Description

Classic Computer Science Problems in Python 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.

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!

Free download in PDF format is not available. You can read Classic Computer Science Problems in Python book online for free.

Table of Contents

Chapter 1
Small problemsfree audio
Chapter 2
SearChapter problems
Chapter 3
Constraint-satisfaction problems
Chapter 4
Graph problems
Chapter 5
Genetic algorithms
Chapter 6
K-means clustering
Chapter 7
Fairly simple neural networks
Chapter 8
Adversarial searChapter
Chapter 9
Miscellaneous problems

Book Details

Computer Science
ISBN13 Digital
ISBN10 Digital
All rights reserved

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