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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
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Sprache: Englisch
Verlag: Manning Publications Company, 2019
ISBN 10: 1617295981 ISBN 13: 9781617295980
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In den WarenkorbPaperback. Zustand: Brand New. 275 pages. 9.25x7.50x0.75 inches. In Stock.
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbPaperback. Zustand: Brand New. 275 pages. 9.25x7.50x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Manning Publications Company, 2021
ISBN 10: 1617297607 ISBN 13: 9781617297601
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 275 pages. 7.50x7.25x0.50 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Brand New. 244 pages. 9.25x7.50x0.50 inches. In Stock.
Zustand: New. 2021. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Manning Publications|Manning, 2019
ISBN 10: 1617295981 ISBN 13: 9781617295980
Anbieter: moluna, Greven, Deutschland
Zustand: New. Highly recommended to everyone interested in deepening their understanding of Python and practical computer science. | Key Features > Master formal techniques taught in college computer science classes > Connect computer science t.
Sprache: Englisch
Verlag: Manning Publications Mär 2019, 2019
ISBN 10: 1617295981 ISBN 13: 9781617295980
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 'Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.' | Key Features > Master formal techniques taught in college computer science classes > Connect computer science theory to real-world applications, data, and performance > Prepare for programmer interviews > Recognize the core ideas behind most 'new' challenges > Covers Python 3.7 Note: Purchase of the print book includes a free Elektronisches Buch in PDF, Kindle, and ePub formats from Manning Publications.About The Book Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the 'new' problems you'll face when you start your next project. In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time. What You Will Learn - Search algorithms - Common techniques for graphs - Neural networks - Genetic algorithms - Adversarial search - Uses type hints throughout This Book Is Written For 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 Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020) Table of Contents 1. Small problems 2. Search problems 3. Constraint-satisfaction problems 4. Graph problems 5. Genetic algorithms 6. K-means clustering 7. Fairly simple neural networks 8. Adversarial search 9. Miscellaneous problems.
Kartoniert / Broschiert. Zustand: New. Über den AutorDavid Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems.
Taschenbuch. Zustand: Neu. Classic Computer Science Problems in Python | David Kopec | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Manning Publications | EAN 9781617295980 | Verantwortliche Person für die EU: Manning, St.-Martin-Str. 82, 81541 München, salesde[at]pearson[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Manning Publications Jan 2021, 2021
ISBN 10: 1617297607 ISBN 13: 9781617297601
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms.Summary Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You'll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. 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 Elektronisches Buch in PDF, Kindle, and ePub formats from Manning Publications. About the technology Whatever software development problem you're facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project. About the book Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You'll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more. What's inside Recursion, memoization, and bit manipulation Search, graph, and genetic algorithms Constraint-satisfaction problems K-means clustering, neural networks, and adversarial search About the reader For intermediate Java programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. Table of Contents 1 Small problems 2 Search problems 3 Constraint-satisfaction problems 4 Graph problems 5 Genetic algorithms 6 K-means clustering 7 Fairly simple neural networks 8 Adversarial search 9 Miscellaneous problems 10 Interview with Brian Goetz.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 116,53
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In den WarenkorbPaperback. Zustand: Brand New. 244 pages. 9.25x7.50x0.50 inches. In Stock.
Taschenbuch. Zustand: Neu. Classic Computer Science Problems in Java | David Kopec | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Manning Publications | EAN 9781617297601 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Manning Publications Mai 2019, 2019
ISBN 10: 1617295981 ISBN 13: 9781617295980
Anbieter: Books-by-Floh, Paderborn, Deutschland
Taschenbuch. Zustand: Neu. Neuware -"Highly recommended to everyone interested in deepening their understanding of Python and practical computer science." | Key Features > Master formal techniques taught in college computer science classes > Connect computer science theory to real-world applications, data, and performance > Prepare for programmer interviews > Recognize the core ideas behind most "new" challenges > Covers Python 3.7 Note: Purchase of the print book includes a free Elektronisches Buch in PDF, Kindle, and ePub formats from Manning Publications.About The Book Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the "new" problems you'll face when you start your next project. In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time. What You Will Learn Search algorithms Common techniques for graphs Neural networks Genetic algorithms Adversarial search Uses type hints throughout This Book Is Written For 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 Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020) Table of Contents 1. Small problems 2. Search problems 3. Constraint-satisfaction problems 4. Graph problems 5. Genetic algorithms 6. K-means clustering 7. Fairly simple neural networks 8. Adversarial search 9. Miscellaneous problems 224 pp. Englisch.