Algorithms and Data Structures in Go (Golang)

The book "Algorithms and Data Structures in Go (Golang)" is a practical guide for developers who want to deepen their knowledge of algorithms and data structures using the modern Go programming language. Unlike abstract textbooks, this book focuses on real code examples, performance, and idiomatic Go style.

What is this book about?

You will journey from basic data structures to complex optimization algorithms. Each topic is accompanied by:

• A detailed explanation of the theory and mathematical foundations
• Implementation in pure Go without external dependencies
• Analysis of time and space complexity (Big O)
• Performance tests (benchmarks)
• Practical problems with solutions

Book contents:

• Fundamentals: Arrays, slices, maps, strings — specifics of working in Go
• Sorting and Searching: Quick sort, merge sort, binary search, substring search
• Linked Lists and Stacks: Singly linked lists, doubly linked lists, stack and queue implementations
• Trees: Binary search trees, AVL trees, red-black trees, B-trees
• Graphs: Graph representation, BFS, DFS, Dijkstra's algorithm, A* algorithm
• Hash Tables: Implementation with chaining and open addressing, hash functions
• Dynamic Programming: Knapsack problem, edit distance, Fibonacci numbers
• Parallel Algorithms: Using goroutines and channels for parallel data processing

Who is this book for?

• Junior and Middle Go developers looking to systematize their knowledge
• Students learning algorithms in practice, not just theory
• Backend engineers working with high-load systems
• Anyone preparing for technical interviews (LeetCode in Go)

What will you learn?

• How to choose the right data structure for a specific task
• How to write efficient Go code considering garbage collector specifics
• How to avoid common mistakes when working with pointers and interfaces
• How to use goroutines to speed up algorithms
• How to test and profile algorithms in Go

The book is written in a lively style with an emphasis on practice. All code examples are available in a GitHub repository. After reading, you will be able to confidently implement any algorithms in Go and make informed decisions about program architecture.

Bonus: At the end of the book — 50 problems for independent practice with analysis of complex cases and typical mistakes.