Algorithms and Data Structures in Swift (iOS/macOS)

This book is an indispensable assistant for every iOS and macOS developer striving to write fast, reliable, and scalable code in Swift. Instead of abstract theory, you get a deep dive into the practical implementation of key algorithms and data structures, taking into account the features of the Apple platform and modern Swift.

What you will learn

The book covers a full range of topics — from basic to advanced. You will learn to:

• Work with basic data structures: arrays, dictionaries, sets, stacks, queues, linked lists, trees (including binary search trees and AVL trees), graphs, and hash tables. Each structure is examined from the perspective of performance and implementation specifics in Swift.
• Apply classic algorithms: sorting (quicksort, merge sort, built-in sort()), searching (linear, binary, depth-first and breadth-first search), graph algorithms (Dijkstra, A*, traversals), and dynamic programming.
• Optimize code: understand time and space complexity (Big O), choose the right structure for a specific task, and avoid common performance pitfalls.
• Use Swift features: protocols, generics, closures, copy-on-write, value types vs reference types, memory management, and ARC.

Who this book is for

• Beginning iOS/macOS developers who are already familiar with the basics of Swift and want to move to the next level.
• Experienced programmers wishing to systematize their knowledge of algorithms and adapt them to Swift.
• Interview preparation: the book contains many problems and their solutions that are often encountered in technical interviews at large companies.

What's inside

• Each chapter contains a theoretical explanation, clear diagrams, and ready-to-use code examples in Swift.
• Practical tasks with step-by-step solution breakdowns.
• Tips for testing and debugging algorithms in Xcode.
• Performance comparison of different approaches on real data.

The book "Algorithms and Data Structures in Swift" will become your desktop reference that you will return to again and again. Start writing code that works not just "somehow," but as efficiently as possible.