Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Classic Computer Science Problems in Swift: Essential Techniques for Practicing Programmers

Classic Computer Science Problems in Swift: Essential Techniques for Practicing Programmers

Kopec, David

Paperback

General ComputersProgramming

Currently unavailable to order

ISBN10: 1617294896
ISBN13: 9781617294891
Publisher: Manning Pubn
Published: Apr 22 2018
Pages: 224
Weight: 0.80
Height: 0.40 Width: 7.30 Depth: 9.10
Language: English
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

  • 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

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