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A fun read to sharpen your classic programming skills and to bring your Swift programming to another level.
Look inside
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. All examples are written in Swift 4.1.
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
about the author
David 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.
We interviewed David as a part of our Six Questions series. Check it out here.
FREE domestic shipping on orders of three or more print books
An excellent book for all Swift programmers, and for students learning algorithms.
A hands-on and informative exploration of computer science problems.
An extraordinary Swift language book and a contribution to the practice of Swift algorithmic problem solving.
