Algorithms and Data Structures in Swift (iOS/macOS)

This book is a comprehensive guide to algorithms and data structures, written specifically for developers on Apple platforms. You will learn not only to understand the theory but also to apply it in practice when building real applications in Swift.

What the book is about

The book covers all key topics in computer science in the context of Swift:

• Basic data structures: arrays, linked lists, stacks, queues, dictionaries, and sets — their implementation and optimization for Swift
• Sorting and search algorithms: from bubble sort to quicksort, binary search, substring search
• Trees and graphs: binary search trees, AVL trees, traversals (BFS, DFS), Dijkstra's and A* algorithms
• Hash tables and hashing: collisions, perfect hashing, usage in iOS/macOS
• Dynamic programming: optimization problems, memoization, tabulation
• Advanced techniques: memory management in ARC, lazy evaluation, functional approaches (map, filter, reduce)

Who this book is for

• Beginner Swift developers who want to master fundamental concepts
• Experienced iOS/macOS programmers striving to improve application performance
• Students and teachers studying data structures in modern languages
• Anyone preparing for technical interviews at Apple and FAANG companies

What you will learn

• How to choose the right data structure for a specific task
• How to evaluate algorithm complexity (Big O notation) in practice
• How to implement efficient algorithms considering Swift Memory Layout specifics
• How to profile and optimize code using Instruments
• How to use design patterns together with algorithms

Edition features

• All code examples tested on Swift 5.9+ and Xcode 15
• Compatibility with iOS 17+ and macOS 14+
• Over 50 practical problems with solutions
• Performance comparison of different approaches
• Ready-to-use implementations for projects (GitHub repository included)

The book is written in a lively, accessible language with an emphasis on practice. You won't just read the theory — you'll be able to immediately apply the knowledge in your projects. An excellent choice for those who want to move from writing "working" code to creating fast and scalable applications.