This project is an algorithm template library and coding interview study guide providing reusable code patterns for common data structures and algorithms. It serves as a reference for optimized strategies and a structured learning path to build proficiency in algorithmic problem solving and competitive programming.
The library focuses on standardized implementations of key algorithmic patterns, including sliding windows, backtracking, dynamic programming, and binary search. It provides specific templates for managing binary search trees, searching rotated sorted arrays, and executing divide-and-conquer decompositions.
The collection covers a wide range of computer science fundamentals, including the implementation of linked lists, stacks, queues, and hash maps. It includes capabilities for graph traversal using breadth-first and depth-first search, sorting via merge and quick sort, and various bitwise operations.
The project is implemented in Go.