Algorithms and Data Structures in Go (Golang)

This book is a practical guide to algorithms and data structures, written specifically for Go (Golang) developers. Unlike theoretical textbooks, it focuses on the real-world application of concepts within the Go ecosystem, taking into account the language's features: goroutines, channels, interfaces, and efficient memory management.

Who this book is for:

• Beginner Go developers looking to master fundamental algorithms;
• Experienced programmers transitioning to Go from other languages;
• Students and professionals preparing for technical interviews;
• Anyone who wants to write efficient and optimized code in Go.

What you will learn:

• Basic data structures: arrays, slices, linked lists, stacks, queues, hash tables;
• Complex structures: trees (binary, AVL, red-black), graphs, heaps;
• Sorting and search algorithms (quicksort, binary search, BFS, DFS);
• Dynamic programming and greedy algorithms using real-world examples;
• Working with graphs: Dijkstra's, Prim's, Kruskal's algorithms, shortest path finding;
• Idiomatic Go: how to correctly implement data structures using interfaces and generics;
• Concurrent algorithms: using goroutines and channels for parallel data processing;
• Complexity analysis (Big O) and code profiling.

Book features:

• Each chapter contains ready-to-run code examples in Go;
• Exercises and tasks for independent practice with explanations;
• Performance comparison of different implementations using benchmarks;
• Tips on testing algorithms (table-driven tests, fuzzing);
• Focus on practical scenarios: from data processing to building APIs.

The book is structured from simple to complex: you will start with basic algorithms and gradually move on to advanced topics such as graph algorithms and dynamic programming. All examples are adapted for modern versions of Go (1.21+), including the use of generics.

What you will achieve:

• Choose the right data structures for specific tasks;
• Write code that is easy to read, maintain, and scale;
• Optimize the performance of Go applications;
• Confidently pass technical interviews with algorithm problems.

This is not just a reference book — it is a full-fledged course that will help you become a more confident and competent Go developer. Regardless of your current level, you will find valuable knowledge and practical skills in this book that you can immediately apply in your work.