# kennyledet/algorithm-implementations

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2,197 stars · 524 forks · Lua · MIT

## Links

- GitHub: https://github.com/kennyledet/Algorithm-Implementations
- Homepage: http://algorithm.zone
- awesome-repositories: https://awesome-repositories.com/repository/kennyledet-algorithm-implementations.md

## Description

This repository is a collection of common computer science algorithms and data structures implemented across multiple programming languages. It serves as an educational resource for students and developers to study fundamental computational logic and software engineering patterns through practical, version-controlled code examples.

The project distinguishes itself by decoupling abstract problem definitions from their specific language implementations. This structure allows for direct cross-language comparison, enabling users to analyze how different syntax and programming paradigms handle identical computational tasks. By organizing solutions through a hierarchical directory structure, the repository facilitates the evaluation of performance trade-offs and coding methods.

The collection supports technical skill development by providing a standardized set of examples for algorithmic problem solving and interview preparation. The content is maintained through community-driven workflows, ensuring that the implementations remain accessible for study and review.

## Tags

### Education & Learning Resources

- [Algorithmic Problem Solving](https://awesome-repositories.com/f/education-learning-resources/technical-domain-education/computer-science-education/algorithmic-problem-solving.md) — Provides a comprehensive collection of algorithmic problem-solving examples across multiple programming languages.
- [Algorithm Implementations](https://awesome-repositories.com/f/education-learning-resources/educational-resources/algorithms-theory-academics/cs-theory-foundations/algorithms/general-collections-and-study/algorithm-implementations.md) — Acts as a general-purpose library of common computer science algorithms implemented across multiple programming languages.
- [Comparative Solution Analysis](https://awesome-repositories.com/f/education-learning-resources/exercise-solutions/comparative-solution-analysis.md) — Enables direct comparison of different coding methods by providing multi-language examples for the same computational task. ([source](https://github.com/kennyledet/algorithm-implementations#readme))
- [Problem Specifications](https://awesome-repositories.com/f/education-learning-resources/algorithmic-problem-implementations/problem-specifications.md) — Separates abstract problem definitions from language-specific code to enable clear cross-language comparison.
- [Coding Interview Preparation](https://awesome-repositories.com/f/education-learning-resources/coding-interview-preparation.md) — Supports technical interview preparation by providing standardized examples of common data structures and algorithms.
- [Educational Code Repositories](https://awesome-repositories.com/f/education-learning-resources/educational-code-repositories.md) — Curates a collection of source code examples demonstrating fundamental data structures and algorithmic logic.
- [Language Agnostic Learning](https://awesome-repositories.com/f/education-learning-resources/language-agnostic-learning.md) — Organizes algorithmic solutions by mapping identical logic across multiple languages to facilitate comparative study.
- [Language Comparisons](https://awesome-repositories.com/f/education-learning-resources/language-comparisons.md) — Facilitates the analysis of how different programming languages handle identical logic to understand performance trade-offs.
- [Computer Science Education](https://awesome-repositories.com/f/education-learning-resources/technical-domain-education/computer-science-education.md) — Serves as an educational resource for students to learn fundamental programming concepts and algorithmic patterns.

### Software Engineering & Architecture

- [Cross-Language Implementation Maps](https://awesome-repositories.com/f/software-engineering-architecture/cross-language-implementation-maps.md) — Maps identical computational tasks across different programming languages to allow for direct cross-platform comparison.