This repository is a comprehensive collection of data structures and algorithms implemented in JavaScript, designed primarily as an educational resource for computer science study and technical interview preparation. It provides modular implementations of fundamental programming concepts, allowing developers to explore algorithmic logic and data organization through self-contained, verifiable code examples.
The library distinguishes itself by pairing every implementation with formal Big O notation, providing predictable insights into time and space scaling requirements. Each algorithm is structured around established computational paradigms—such as dynamic programming, greedy strategies, and backtracking—and is verified against a suite of automated unit tests to ensure logical correctness and consistent behavior.
The project covers a broad capability surface, including graph traversal, search and sorting strategies, string analysis, and mathematical operations. It also features specialized utilities for cryptography, probabilistic data processing, machine learning classification, and image manipulation. These components are organized into standardized interfaces to facilitate comparison and integration.
