Classic Computer Science Problems in Python

Classic Computer Science Problems in Python
Classic Computer Science Problems in Python
By 作者: David Kopec
ISBN-10 书号: 1617295981
ISBN-13 书号: 9781617295980
Edition 版本: 1
Release Finelybook 出版日期: 2019-03-15
pages 页数: (224 )

$39.99

Book Description to Finelybook sorting

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!
What’s Inside

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


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