Summary
Classic Computer Science Problems in Swift invites readers to invest their energy in some foundational techniques that have been proven to stand the test of time. Along the way they'll learn intermediate and advanced features of the Swift programming language, a worthwhile skill in its own right.
About the Technology
Don't just learn another language. Become a better programmer instead. Today's awesome iOS apps stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills in Swift, and you'll be ready for AI, data-centric programming, machine learning, and the other development challenges that will define the next decade.
About the Book
Classic Computer Science Problems in Swift deepens your Swift language skills by exploring foundational coding techniques 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. You'll appreciate author David Kopec's amazing ability to connect the core disciplines of computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!
What's Inside
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David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning’s Classic Computer Science Problems in Swift.
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Anbieter: Better World Books, Mishawaka, IN, USA
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 275 pages. 7.50x7.25x0.50 inches. In Stock. Artikel-Nr. __1617294896
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 275 pages. 7.50x7.25x0.50 inches. In Stock. Artikel-Nr. 1617294896
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Taschenbuch. Zustand: Neu. Neuware - SummaryClassic Computer Science Problems in Swift invites readers to invest their energy in some foundational techniques that have been proven to stand the test of time. Along the way they'll learn intermediate and advanced features of the Swift programming language, a worthwhile skill in its own right.About the TechnologyDon't just learn another language. Become a better programmer instead. Today's awesome iOS apps stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills in Swift, and you'll be ready for AI, data-centric programming, machine learning, and the other development challenges that will define the next decade.About the BookClassic Computer Science Problems in Swift deepens your Swift language skills by exploring foundational coding techniques 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. You'll appreciate author David Kopec's amazing ability to connect the core disciplines of computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!What's Inside- Breadth-first, depth-first, and A\* search algorithms- Constraint-satisfaction problems- Solving problems with graph algorithms- Neural networks, genetic algorithms, and more- All examples written in Swift 4.1About the ReaderFor readers comfortable with the basics of Swift.About the AuthorDavid Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is an experienced iOS developer and the author of Dart for Absolute Beginners.Table of Contents- Small problems - Search problems - Constraint-satisfaction problems - Graph problems - Genetic algorithms - K-means clustering - Fairly simple neural networks - Miscellaneous problems. Artikel-Nr. 9781617294891
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Classic Computer Science Problems in Swift | Essential Techniques for Practicing Programmers | David Kopec | Taschenbuch | Englisch | 2018 | Manning Publications | EAN 9781617294891 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Artikel-Nr. 138104626
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Anbieter: Books-by-Floh, Paderborn, Deutschland
Taschenbuch. Zustand: Neu. Neuware -SummaryClassic Computer Science Problems in Swift invites readers to invest their energy in some foundational techniques that have been proven to stand the test of time. Along the way they'll learn intermediate and advanced features of the Swift programming language, a worthwhile skill in its own right.About the TechnologyDon't just learn another language. Become a better programmer instead. Today's awesome iOS apps stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills in Swift, and you'll be ready for AI, data-centric programming, machine learning, and the other development challenges that will define the next decade.About the BookClassic Computer Science Problems in Swift deepens your Swift language skills by exploring foundational coding techniques 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. You'll appreciate author David Kopec's amazing ability to connect the core disciplines of computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!What's Inside- Breadth-first, depth-first, and A\* search algorithms- Constraint-satisfaction problems- Solving problems with graph algorithms- Neural networks, genetic algorithms, and more- All examples written in Swift 4.1About the ReaderFor readers comfortable with the basics of Swift.About the AuthorDavid Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is an experienced iOS developer and the author of Dart for Absolute Beginners.Table of Contents- Small problems - Search problems - Constraint-satisfaction problems - Graph problems - Genetic algorithms - K-means clustering - Fairly simple neural networks - Miscellaneous problems 224 pp. Englisch. Artikel-Nr. 9781617294891
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