Go Data Structures and Algorithms

Welcome to your personal guide for learning Data Structures and Algorithms with Go. This book follows a structured approach to help you master both Go programming and fundamental DSA concepts.

Table of Contents

Phase 1: Go Language Fundamentals

1. Setting Up Go
2. Go Basics
3. Go's Core Data Structures
4. Pointers in Go
5. Interfaces in Go
6. Error Handling
7. Introduction to Concurrency

Phase 2: Foundational DSA Concepts with Go

8. Complexity Analysis
9. Linear Data Structures: Arrays and Slices
10. Linked Lists
11. Stacks
12. Queues
13. Searching Algorithms
14. Sorting Algorithms
15. Hashing and Hash Tables

Phase 3: Advanced Data Structures and Algorithms

16. Trees
17. Binary Search Trees
18. Heaps
19. Graphs and Representations
20. Graph Traversal Algorithms
21. Basic Graph Algorithms
22. Greedy Algorithms
23. Dynamic Programming
24. Tries (Prefix Trees)
25. Backtracking Algorithms
26. Divide and Conquer Algorithms

Phase 4: Competitive Programming and System Design

27. Problem Solving Techniques
28. Concurrency in Practice
29. Introduction to System Design with DSA

How to Use This Book

Each chapter contains:

1. Theory and concepts
2. Code examples
3. Practice problems
4. Solutions to problems

It's recommended to follow the chapters in order, especially if you're new to Go or DSA. Make sure to practice coding the examples and solving the problems yourself for effective learning.

Happy coding!