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Classic Computer Science Problems in Python

By William Shotts (Author)

Classic Computer Science Problems in Python deepens your knowledge of problem-solving techniques from the realm of computer science by challenging …



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Channing Kramer

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!nAbout the TechnologynComputer 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.nAbout the BooknClassic 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!nWhat's Insiden• Search algorithmsn• Common techniques for graphsn• Neural networksn• Genetic algorithmsn• Adversarial searchn• Uses type hints throughoutn• Covers Python 3.7nAbout the ReadernFor intermediate Python programmers.

Language: english
ISBN 10: 1617295981
ISBN 13: 978-1617295980
Year: 2013
Pages: 224
File Type: PDF

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