Algorithms and Data Structures in Swift (iOS/macOS)

The book "Algorithms and Data Structures in Swift (iOS/macOS)" is a practical guide that helps developers for Apple platforms master fundamental and advanced algorithms using the Swift language. The author, Dmitry Voronov, an experienced iOS developer and teacher, offers the reader a structured approach to learning algorithms, starting from simple data structures and ending with complex graph algorithms.

Who is this book for?

• Beginner iOS/macOS developers looking to deepen their knowledge of algorithms;
• Students and course graduates preparing for technical interviews;
• Experienced programmers transitioning to Swift from other languages;
• Anyone who wants to write efficient and optimized code for Apple devices.

What will you learn from the book?

• Swift basics: generics, protocols, value/reference types in the context of algorithms;
• Linear data structures: arrays, linked lists, stacks, queues, deques;
• Trees: binary search trees, AVL trees, heaps, prefix trees (Trie);
• Sorting algorithms: bubble sort, quicksort, merge sort, built-in Swift methods;
• Searching: linear search, binary search, substring search (KMP, Boyer-Moore);
• Graphs: traversals (BFS, DFS), shortest paths (Dijkstra, Bellman-Ford), topological sorting;
• Hash tables and sets: implementation, collisions, performance;
• Dynamic programming: memoization, recursion, classic problems (knapsack, LCS, LIS);
• Complexity analysis: Big O, code optimization, profiling in Xcode.

Features of the edition:

• All code examples are written in Swift 5.9+ and compatible with the latest versions of Xcode;
• Each chapter contains practical tasks with step-by-step solutions;
• A separate section is dedicated to preparing for interviews at Big Tech companies;
• Exercises on optimizing existing code and refactoring.

The book is written in a lively and accessible language, making it useful both for self-study and for teamwork. You will not just learn algorithms — you will learn to apply them in real iOS and macOS projects, avoiding typical beginner mistakes. After reading, you will be able to confidently pass technical interviews and write code that runs fast and efficiently.

Additional materials: the book comes with a GitHub repository containing the full code of all examples and tests. The link is available on the publisher's website.