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This repository is a collection of problem-solving exercises, Python programs, and concept-based examples aimed at improving coding logic, algorithmic thinking, and understanding of Python fundamentals. It also includes hands-on examples covering Object-Oriented Programming (OOPs), Python Standard Library modules, and functional programming feature

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🧠 Problem Solving

This repository is a collection of problem-solving exercises, and concept-based examples aimed at improving coding logic, algorithmic thinking, and understanding of programming language fundamentals.
It also includes hands-on examples covering Object-Oriented Programming (OOPs), DSA, Interview Questions.


πŸ’‘ Problem-Solving/

Includes logic-based and algorithmic problems implemented in Python, Java and C++.
These focus on improving problem-solving ability and computational thinking.


🧩 Concepts Covered

Category Topics
Basics Variables, Data types, Loops, Conditionals
Intermediate Functions, Recursion, Modules, File I/O
Advanced OOPs (Encapsulation, Inheritance, Polymorphism)
STL, Collection Framework and Core concept of Javacript

πŸš€ How to Use

  1. Clone this repository
    git clone https://github.com/KashyapDas/Problem-Solving.git
  2. Run any script
       Run any file by using Code Runner extenstion present inside the extenstion folder in vs code
    

🀝 Contributing

If you’d like to contribute more problems or improve existing ones:

  1. Fork this repository
  2. Create a new branch
  3. Add your solutions or improvements
  4. Submit a Pull Request 🎯

πŸ§‘β€πŸ’» Author

Kashyap Jyoti Das & Divyam Bajpai
Frontend Engineer | Full Stack Learner | Open Source Contributor
🌐 GitHub Profile 🌐 GitHub Profile


⭐ Support

If you find this repository helpful, consider giving it a ⭐ on GitHub!


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This repository is a collection of problem-solving exercises, Python programs, and concept-based examples aimed at improving coding logic, algorithmic thinking, and understanding of Python fundamentals. It also includes hands-on examples covering Object-Oriented Programming (OOPs), Python Standard Library modules, and functional programming feature

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