Algorithms and Data Structures in Go (Golang)

The book "Algorithms and Data Structures in Go (Golang)" is a practical guide that will help you master fundamental computer science concepts through the lens of the Go language. The author, an experienced developer and teacher, will guide you step by step from simple algorithms to complex data structures, using only the standard language features and best practices of Go.

What is this book about?

The book covers all key topics necessary for writing efficient and scalable code in Go:

• Basic data structures: arrays, slices, hash tables (maps), linked lists, stacks, and queues — their implementation and usage specifics in Go.
• Trees and graphs: binary search trees, balanced trees (AVL, red-black), graph traversals (BFS, DFS), shortest path algorithms (Dijkstra, Bellman-Ford).
• Sorting and searching algorithms: quicksort, merge sort, binary search, interpolation search — with complexity analysis and practical examples.
• Dynamic programming: optimal solution problems, memoization, tabulation — from classics (knapsack, sequences) to applied scenarios.
• Parallel algorithms: using goroutines and channels for parallel data processing, concurrency patterns, worker pools.

Who is this book for?

• Beginner Go developers — who want to deepen their knowledge of the language and understand how to write efficient programs.
• Experienced programmers — transitioning to Go from other languages and wanting to master the specifics of working with data in Go.
• Students and teachers — studying algorithms and data structures from a practical perspective.
• Backend developers — building high-load systems where performance is critical.

What will you learn?

• How to choose the optimal data structure for a specific task.
• How to avoid common mistakes when working with slices, maps, and pointers in Go.
• How to implement complex algorithms using idiomatic Go code.
• How to test and profile algorithms to find bottlenecks.
• How to apply algorithms in real projects: from data parsing to working with social network graphs.

All examples in the book are provided with detailed comments, and each chapter ends with practical exercises to reinforce the material. The code is available for download and has been tested on the latest versions of Go (1.21+).

This book will become your reliable companion on the path to mastery in Go — a language that combines the simplicity of Python with the performance of C. Regardless of your current level, you will find valuable knowledge here that you can immediately apply in practice.

Dive into the world of algorithms in Go and create programs that work fast and reliably!