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Classic Computer Science Problems In Python
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- Book Synopsis
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Summary 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!
About the TechnologyComputer 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.
About the BookClassic 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 InsideSearch algorithmsCommon techniques for graphsNeural networksGenetic algorithmsAdversarial searchUses type hints throughoutCovers Python 3.7 About the ReaderFor intermediate Python programmers.
About the AuthorDavid Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginne (Apress, 2014) and Classic Computer Science Problems in Swift (Manning, 2018). Table of ContentsSmall problemsSearch problemsConstraint-satisfaction problemsGraph problemsGenetic algorithmsK-means clusteringFairly simple neural networksAdversarial searchMiscellaneous problems
- About The Author
- David Kopec is an Assistant Professor of Computer Science & Innovation at Champlain College in Burlington, VT. He is an experienced iOS developer and the author of Dart for Absolute Beginners.
- Product Details
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- ISBN
- 9781617295980
- Format
- Paperback
- Publisher
- Manning Publications, (26 March 2019)
- Number of Pages
- 224
- Weight
- 424 grams
- Language
- English
- Dimensions
- 235 x 187 x 17 mm
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