🚀 LeetCode Multi-Language Solutions Library

A clean, organized, and scalable repository containing LeetCode solutions in multiple programming languages.
Each language has its own dedicated folder with structured problem files, explanations, and optimized approaches.

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🎯 Purpose of This Repository

The goal of this repository is to create a centralized, multi-language learning hub for Data Structures & Algorithms (DSA).

This repository helps you:

✔ Build a long-term DSA reference

Each problem is stored in a consistent, easy-to-search structure for future review.

✔ Learn problem-solving patterns

Solutions are written clearly, often with multiple approaches (bruteforce → optimal).

✔ Compare logic across languages

See how the same problem is solved in C++, Python, JavaScript, and more.

✔ Prepare for coding interviews

All solutions include clean code and complexity analysis, ideal for interview revision.

✔ Maintain professional-level code organization

A standardized naming format ensures scalability as the repository grows.

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Repository Structure

This repository organizes problems by programming language, not by problem number.
Each language has its own folder: /

├── cpp/

│ ├── 0001-two-sum.cpp

│ ├── 0002-add-two-numbers.cpp

│ └── README.md

├── python/

│ ├── 0001-two-sum.py

│ ├── 0002-add-two-numbers.py

│ └── README.md

├── javascript/

│ ├── 0001-two-sum.js

│ └── README.md

└── README.md <-- (you are reading this)

Why this structure?

• Easy to browse all problems solved in a specific language
• Great for interview preparation when practicing in a target language
• Cleaner than mixing all solutions in a single folder
• Perfect for a multi-language LeetCode library

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📘 What Each Language Folder Contains

Every language folder (e.g., /cpp, /python) includes:

• Problem solutions
• A README.md listing:
  • Available problems
  • Approaches
  • Notes & explanations

Example folder README skeleton:

# C++ LeetCode Solutions

### Available Problems
- [0001 - Two Sum](0001-two-sum.cpp)
- [0002 - Add Two Numbers](0002-add-two-numbers.cpp)

### Notes
- All solutions follow optimal or near-optimal approaches.
- Each file includes complexity analysis.