This repository is a collection of standard computer science algorithms and data structure implementations written in Java. It serves as a learning resource for developers to study fundamental programming concepts, efficient logic management, and common problem-solving techniques.
The main features of pedrovgs/algorithms are: Computer Science Education, Common Algorithmic Tasks, Technical Interview Preparation, Data Structure Implementations, Java Interview Preparations, Java Implementations, Business Logic Encapsulations, Static Type Systems.
Open-source alternatives to pedrovgs/algorithms include: trekhleb/javascript-algorithms — This repository is a comprehensive collection of data structures and algorithms implemented in JavaScript, designed… thealgorithms/javascript — This project is an educational code repository providing a curated collection of common algorithms and data structures… raywenderlich/swift-algorithm-club — This project is a computer science educational resource and a library of common data structures and algorithms… pegasuswang/python_data_structures_and_algorithms — This repository is a comprehensive educational resource for mastering fundamental computer science concepts through… jamiebuilds/itsy-bitsy-data-structures — itsy-bitsy-data-structures is a collection of fundamental computer science data structures implemented in JavaScript.… marcosfede/algorithms — This project is a comprehensive repository of fundamental computer science algorithms and data structures designed as…
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 stru
This project is an educational code repository providing a curated collection of common algorithms and data structures implemented in JavaScript. It serves as a reference library and a study resource for learning computer science concepts and foundational programming principles. The repository focuses on the practical implementation of standard data structures and algorithmic patterns. It provides a codebase for studying computational problem-solving and practicing the technical requirements often found in software engineering interviews. The codebase covers core data structure implementatio
This repository is a comprehensive educational resource for mastering fundamental computer science concepts through Python. It provides a structured collection of source code implementations for classic data structures and algorithms, serving as a practical guide for building technical proficiency and preparing for coding interviews. The project distinguishes itself by integrating visual aids and diagrams that map complex execution steps to clarify how data structures function. This visual approach is paired with a rigorous automated unit testing framework, which validates the correctness of
This project is a computer science educational resource and a library of common data structures and algorithms implemented in Swift. It serves as a practical reference for studying complexity and efficiency through solved algorithmic problems and conceptual guides. The collection includes implementations of linear and hierarchical data structures, such as stacks, queues, linked lists, and trees. It covers a wide range of computational patterns, including graph and pathfinding implementations, mathematical numerical methods, and data compression techniques. The project also provides implement