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A collection of solutions to various coding challenges, covering a wide range of algorithms and data structures. This repository is designed to help with problem-solving skills, interview preparation, and competitive programming practice.

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SolveVault

Daily Coding Challenges and Interview Questions

Overview

This repository is a collection of my solutions to daily coding challenges from LeetCode and interview questions from top tech companies. It serves as a personal learning journey and a resource for others preparing for technical interviews. The solutions are organized chronologically, reflecting my day-to-day progress in problem-solving skills.

What's Inside

  • LeetCode daily challenges
  • Interview questions from various tech companies
  • Problems from GeeksforGeeks
  • Challenges from Coding Ninjas
  • Additional coding problems from other platforms

Technologies Used

Solutions are implemented in various programming languages, including but not limited to:

  • Python
  • Java
  • C++
  • JavaScript

Topics covered include:

  • Data Structures (Arrays, Linked Lists, Trees, Graphs, etc.)
  • Algorithms (Sorting, Searching, Dynamic Programming, etc.)
  • Object-Oriented Programming

How to Use

To clone this repository and explore the solutions:

git clone https://github.com/adityas-github/SolveVault.git
cd SolveVault
  1. Contributing:
## Contributing

Contributions are welcome! If you'd like to add a solution, improve existing code, or suggest a new problem, please follow these steps:

1. Fork the repository
2. Create a new branch (`git checkout -b feature/AmazingSolution`)
3. Commit your changes (`git commit -am 'Add some AmazingSolution'`)
4. Push to the branch (`git push origin feature/AmazingSolution`)
5. Create a new Pull Request

Please ensure your code is well-commented and follows the existing structure.

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A collection of solutions to various coding challenges, covering a wide range of algorithms and data structures. This repository is designed to help with problem-solving skills, interview preparation, and competitive programming practice.

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