Swift: Algorithms and Data Structures

Introduction

The book "Swift Algorithms & Data Structures" (author: Wayne Bishop, 2018, 288 pages) is a practical guide that helps Swift developers gain a deeper understanding of fundamental computer science concepts. Despite the fact that the PythonLib website is dedicated to Python, this book is of interest to those who want to broaden their horizons and master algorithms in another modern language. Swift is not only a language for iOS/macOS, but also a powerful tool with a rich standard library, and Bishop's book excellently demonstrates how to apply algorithms and data structures in real-world projects.

What the book is about

The book covers classic topics: arrays, linked lists, stacks, queues, trees, graphs, sorting and searching algorithms, as well as more complex structures such as hash tables and heaps. Each chapter contains not only a theoretical description but also an implementation in Swift with explanations. Special attention is paid to performance (Big O notation) and practical examples from iOS/macOS development.

Who this book is for

The book is intended for developers who are already familiar with the basics of Swift and want to deepen their knowledge of algorithms. It will be useful both for beginners just starting to learn data structures and for experienced programmers looking to systematize their knowledge. If you are preparing for technical interviews in the Apple ecosystem, this is an excellent resource.

What the reader will learn

• Basic data structures: arrays, linked lists, stacks, queues, trees (binary, AVL, red-black), graphs, hash tables.
• Sorting algorithms: bubble, quick, merge, insertion, selection sort and their implementation in Swift.
• Search algorithms: linear, binary, depth-first search (DFS) and breadth-first search (BFS) for graphs.
• Complexity analysis: understanding Big O, Ω, Θ and the ability to analyze code performance.
• Practical techniques: how to use data structures in real iOS applications (e.g., for caching, task queues, working with collections).
• Refactoring and optimization: how to improve existing code by choosing the right data structures.

Strengths

The book stands out for its practical approach. Unlike many academic textbooks, Bishop offers ready-to-use implementations in Swift that can be immediately applied in a project. The code is written cleanly, with comments and tests. Another plus is the presence of exercises at the end of each chapter to reinforce the material. The chapter on graphs and graph algorithms deserves special mention — it provides a good foundation for working with network structures.

Who it is recommended for

We recommend the book to anyone who writes in Swift and wants to move from "simply writing code" to "understanding why code runs fast or slow." It will be especially useful for junior and middle developers preparing for interviews at companies that use Swift (e.g., for iOS positions). If you are a Python developer but are interested in multi-paradigm programming, the book will help you see how the same algorithms are implemented in a different syntax, broadening your horizons.

Overall, "Swift Algorithms & Data Structures" is a high-quality, structured guide that will earn a worthy place on the shelf of any serious developer.