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Clean and optimal LeetCode solutions implemented in Python, Java, TypeScript, JavaScript, and SQL.

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⚡ LeetCode Solutions

A curated collection of clean, optimal, and multi-language solutions to LeetCode algorithmic and database problems.

LeetCode Python Java TypeScript JavaScript SQL


👤 LeetCode Profile

Track my problem-solving activity, ranking, and contest progress directly on LeetCode:


✨ Highlights

  • Multi-Language Solutions: Problems are implemented across Python, TypeScript, JavaScript, Java, and SQL.
  • Clean & Optimal: Focus on readability, optimal time/space complexity, and modern syntax.
  • Reference Headers: Solutions include problem titles and links back to the original LeetCode challenge.

📁 Repository Structure

Solutions are organized into modular range folders to keep the repository structured and scalable as more solutions are added:

Leetcode-Solutions/
└── <range_folder>/
    └── <problem_id> - <Problem Title>.<ext>
  • Range Folders: Group problems into convenient batches (e.g., 3851-3900/, 0151-0200/).
  • File Naming: <problem_id> - <Problem Title>.<ext> containing the solution along with problem links and notes.

🛠️ Languages Used

Language Extension Description
Python .py Python 3 solutions
TypeScript .ts Strictly typed TypeScript solutions
JavaScript .js Modern ES6+ JavaScript
Java .java Object-oriented Java implementations
SQL .sql Database queries

Maintained by Vishnu Thangaraj • Updated continuously with new problem solutions.

About

Clean and optimal LeetCode solutions implemented in Python, Java, TypeScript, JavaScript, and SQL.

Topics

Resources

Stars

2 stars

Watchers

1 watching

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