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Data Structures and Algorithms

A comprehensive and continually evolving repository dedicated to Data Structures and Algorithms. This project serves as a centralized codebase for problem-solving, competitive programming solutions, and algorithmic concepts ranging from foundational implementations to highly advanced paradigms.

📖 Overview

This repository is designed to house clean, optimized, and structured algorithmic code. It serves as a continuous workspace that scales alongside the complexity of the problems being solved, making it suitable for everything from standard algorithm implementations to complex, computation-heavy paradigms.

🚀 Repository Structure

To maintain clarity as more advanced concepts are pushed, the codebase is organized into distinct directories:

  • Algorithms: Core implementations and utility functions.
  • CodeForce: Solutions and approaches to competitive programming challenges.
  • Youtube: Code references and implementations tied to specific problem breakdowns or tutorials.

💻 Environment & Languages

  • Primary Language: C++

🛠 Getting Started

Prerequisites

To compile and run the code in this repository, ensure you have a C++ compiler installed on your system (such as GCC, Clang, or MSVC).

Installation

Clone the repository to your local machine:

git clone https://github.com/KashyapDas/Data-Structure-and-Algorithm.git
cd Data-Structure-and-Algorithm

Compilation and Execution

Navigate to the specific file you wish to execute and compile it using your standard C++ command. For example:

g++ filename.cpp -o output_program
./output_program

🤝 Contributing

Contributions, code optimizations, and new problem solutions are always welcome! If you have a more efficient approach or want to add a new implementation, feel free to open a Pull Request.

📝 License

This project is open-source and available under the MIT License.

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A comprehensive C++ codebase dedicated to competitive programming and algorithmic problem-solving. This repository scales from foundational algorithms to advanced paradigms.

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