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Classic Computer Science Problems in Swift
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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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
About the Reader
For readers comfortable with the basics of Swift.
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.
Table of Contents
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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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
About the Reader
For readers comfortable with the basics of Swift.
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.
Table of Contents
206 pages, Paperback
Published January 1, 2018
4 people are currently reading
40 people want to read
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Displaying 1 of 1 review
April 7, 2024
It's not often that you need to implement new algorithms in an average programming job, but it's still worth it to know the common ones and the categories. This isn't a textbook, so it's pretty easy to read, although the descriptions of the algorithms could be clearer. If you're into swift, it's a good intro into algorithms, without covering any advanced data structures, which I liked. Another benefit was to see how one algorithm could be applied to solve multiple, different problems.
Speaking of swift, it's a multiparadigm language and the code in the book is often imperative, confusing and hard to understand (for me), adding more types (type aliases) and abstractions would significantly clarify the code. Also note that the code in chapter 3.3 compiles, but is subtly broken in the current swift version, due to changes in the dictionary traversal order.
Overall, this is a reasonably nice and easy introduction in the algorithms domain.
Speaking of swift, it's a multiparadigm language and the code in the book is often imperative, confusing and hard to understand (for me), adding more types (type aliases) and abstractions would significantly clarify the code. Also note that the code in chapter 3.3 compiles, but is subtly broken in the current swift version, due to changes in the dictionary traversal order.
Overall, this is a reasonably nice and easy introduction in the algorithms domain.
Displaying 1 of 1 review