# neetcode-gh/leetcode

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6,398 stars · 2,474 forks · JavaScript · MIT

## Links

- GitHub: https://github.com/neetcode-gh/leetcode
- awesome-repositories: https://awesome-repositories.com/repository/neetcode-gh-leetcode.md

## Description

This project is a curated collection of solved algorithmic challenges and reference implementations. It serves as a study guide for software engineering, providing a library of data structure and algorithm problems used to analyze efficient problem-solving techniques.

The repository functions as a solution reference for coding challenges across multiple programming languages. It includes source code examples and conceptual hints designed for technical interview preparation and the study of common coding patterns.

The content is organized as a static source code repository with language-specific directory nesting and file-based solution mapping. The project also includes automation tools for source code formatting and external formatter integration to maintain consistent code style.

## Tags

### Education & Learning Resources

- [Technical Interview Preparation](https://awesome-repositories.com/f/education-learning-resources/technical-interview-preparation.md) — Serves as a comprehensive resource for preparing for technical assessments and software engineering coding interviews.
- [Algorithmic Problem Implementations](https://awesome-repositories.com/f/education-learning-resources/algorithmic-problem-implementations.md) — Provides conceptual guides and code implementations for solving classic algorithmic challenges. ([source](https://github.com/neetcode-gh/leetcode/tree/main/hints))
- [Coding Challenge Solutions](https://awesome-repositories.com/f/education-learning-resources/coding-challenge-solutions.md) — Provides a curated collection of solved programming exercises and detailed explanations. ([source](https://github.com/neetcode-gh/leetcode/tree/main/cpp))
- [Coding Interview Preparation](https://awesome-repositories.com/f/education-learning-resources/coding-interview-preparation.md) — Curates programming challenges and study materials to prepare developers for technical interviews.
- [Data Structures and Algorithms](https://awesome-repositories.com/f/education-learning-resources/curricula-instructional-design/curricula-roadmaps/foundations-study-skills/foundational-computer-science-modules/data-structures-and-algorithms.md) — Implements foundational data structures and algorithms used as reference code across multiple languages. ([source](https://github.com/neetcode-gh/leetcode#readme))
- [Multi-Language Implementations](https://awesome-repositories.com/f/education-learning-resources/multi-language-implementations.md) — Offers reference implementations of the same algorithmic problems across multiple programming languages for comparative analysis. ([source](https://github.com/neetcode-gh/leetcode/blob/main/README.md))
- [Algorithmic Problem Solving](https://awesome-repositories.com/f/education-learning-resources/technical-domain-education/computer-science-education/algorithmic-problem-solving.md) — Provides educational resources for mastering computational logic and implementing efficient algorithmic solutions.
- [Algorithmic Pattern Study Guides](https://awesome-repositories.com/f/education-learning-resources/algorithmic-pattern-study-guides.md) — Offers study guides for identifying and applying recurring logical patterns to solve algorithmic challenges.
- [Competitive Programming Solutions](https://awesome-repositories.com/f/education-learning-resources/competitive-programming-solutions.md) — Provides optimized algorithm implementations designed for competitive programming and technical assessments.
- [LeetCode Solution References](https://awesome-repositories.com/f/education-learning-resources/leetcode-solution-references.md) — Provides a curated collection of reference solutions specifically for LeetCode problems.
- [Efficiency Examples](https://awesome-repositories.com/f/education-learning-resources/problem-solving-guides/interview-problem-solving/efficiency-examples.md) — Provides optimized reference implementations to illustrate efficient computational techniques for common problems. ([source](https://github.com/neetcode-gh/leetcode/blob/main/.prettierrc))

### Software Engineering & Architecture

- [Cross-Language Implementations](https://awesome-repositories.com/f/software-engineering-architecture/cross-language-implementations.md) — Maintains equivalent logic and structure for the same problem across various language ports.