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Preț: 240.99 Lei
Caracteristicile produsului Classic Computer Science Problems in
- Brand: Manning Publications
- Categoria: Foreign Books
- Magazin: elefant.ro
- Ultima actualizare: 21-12-2024 01:38:29
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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 Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology
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. About the Book
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 About the Reader 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 Beginne (Apress, 2014) and
Classic Computer Science
Problems in Swift (Manning, 2018). Table of Contents Small problems Search problems Constraint-satisfaction problems Graph problems Genetic algorithms K-means clustering Fairly simple neural networks Adversarial search Miscellaneous 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.