This book is a comprehensive guide to algorithms and data structures, designed for developers who want to master essential Swift syntax and computer science fundamentals while building practical, type-safe implementations.
Swift has become the cornerstone of Apple development, powering solutions for iPhone, WatchOS, VisionOS, server-based solutions and beyond. This book provides complete implementations of essential algorithms, data structures and mathematics in modern Swift, going beyond pseudocode to show you how these concepts work in production code.
- Master Big O notation and learn to evaluate algorithmic efficiency
- Implement linear search, binary search, constant time operations and sorting algorithms
- Build type-safe, reusable code using Swift's powerful generic system
- Create linked lists, stacks, queues, trees, graphs, and hash tables from scratch
- Explore tries, heaps, dynamic programming, and graph algorithms like PageRank
- Learn linear algebra fundamentals for data science, including working with vectors and matrices
This book is designed for:
- Swift developers looking to strengthen their computer science fundamentals
- Experienced developers in other languages interested in learning Swift
- Interview candidates preparing for technical coding interviews
- Developers interested in data science
- Educators looking for teaching materials related to computer science or vector mathematics
You should be comfortable with Swift basics (variables, functions, classes, structs) and familiar with common design patterns. No prior algorithms experience required.
- Quiver Package - A Swift package that provides vector mathematics, numerical computing, and statistical operations.
- Structures Package - Examples of commonly used algorithms and data structures in Swift Package format.
This code is available for both commercial and open-source projects. As a courtesy, please provide attribution to Wayne Bishop.
Contributions, feedback, and corrections are welcome! Please feel free to:
- Open issues for bugs or unclear explanations
- Submit pull requests for improvements
- Suggest new topics or examples
Have questions or feedback? Feel free to contact me on LinkedIn.
© Wayne Bishop | waynewbishop.com