Welcome to the Data Structures and Algorithms Repository — a collection of clean, well-structured implementations and problem solutions in multiple programming languages.
This repository aims to help learners, interview aspirants, and contributors understand, practice, and master DSA concepts through organized examples and real coding patterns.
The goal of this repository is to:
- Provide a structured collection of DSA implementations for reference and practice.
- Help students and developers improve problem-solving and coding efficiency.
- Serve as a learning hub with clear, commented code for self-study or revision.
- Encourage contributors to add optimized or alternate implementations.
Each topic is organized into its own folder for better readability and access.
We welcome clean and optimized code contributions!
Please follow these guidelines:
- ✅ Use clear, descriptive filenames (e.g.,
reverse_array.cpp,merge_sort.py). - ✅ Add comments explaining the logic and approach.
- ✅ Mention time and space complexity at the end of each file.
- ✅ Avoid duplicates — check if a similar solution already exists.
- ✅ Use any language: C++, Python, Java, JavaScript, etc.
- ✅ Keep the code simple, readable, and educational.