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Classic Computer Science Problems in Swift

Discussion in 'Certifications, eBooks and Tutorials' started by sigmalon, Feb 9, 2019.

  1. si

    sigmalon Registered User

    Oct 30, 2018
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    Author: David Kopec
    Pub Date: 2019
    ISBN: 978-1617294891
    Pages: 224
    Language: English
    Format: PDF
    Size: 10 Mb

    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.
    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.
    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

    • 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
    Hidden Content:
    vltra and biciolino like this.