Classic Computer Science Problems in Swift: Essential Techniques for Practicing ProgrammersКНИГИ » ПРОГРАММИНГ
Название: Classic Computer Science Problems in Swift: Essential Techniques for Practicing Programmers Автор: David Kopec Издательство: Manning Publications Год: 2018 Язык: английский Формат: pdf Размер: 10.19 MB
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!
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.
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 4.1
About the Reader: For readers comfortable with the basics of Swift.
Learn Computer Science with Swift Название: Learn Computer Science with Swift: Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with...
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Classic Computer Science Problems in Swift: Essential Techniques for Practicing Programmers 
