Skip to content

Latest commit

 

History

History
39 lines (22 loc) · 2.98 KB

README.md

File metadata and controls

39 lines (22 loc) · 2.98 KB

Problem Solving

Welcome 😄 to the Problem Solving Repository! This repository is dedicated to solving programming problems and enhancing your problem-solving skills. Here, you will find a collection of solved problems, organized by different levels of difficulty.

In this repository, you will find a curated selection of programming problems covering various topics and difficulty levels. Each problem is accompanied by a detailed solution explanation and code implementation in a specific programming language.

The Approach That I Will Following In Problem Solving

When it comes to problem-solving in programming, it's essential to follow a structured and systematic approach. Here's my approach to tackle programming problems effectively :

  1. Understand the Problem : Read and understand the problem statement carefully. Identify the inputs, expected outputs, and any constraints or edge cases.

  2. Break Down the Problem : Divide the problem into smaller subproblems or tasks. This helps in understanding the problem better and allows for a more manageable approach.

  3. Plan the Solution : Determine the high-level strategy or algorithm to solve the problem.

  4. Write Pseudocode : Before diving into actual coding, write pseudocode that outlines the steps of the solution. Pseudocode helps in organizing your thoughts and clarifying the logic of the solution.

  5. Implement the Solution : Write the actual code based on the pseudocode. Follow best coding practices and conventions to ensure readability and maintainability of the code.

  6. Test the Solution : Create test cases to verify the correctness of your solution. Test the code with both normal and edge cases to ensure it handles all possible scenarios.

  7. Analyze and Optimize : Evaluate the efficiency of your solution. Look for areas where the code can be optimized or improved. Consider time complexity, space complexity, and any potential bottlenecks.

  8. Document the Solution : Add comments and documentation to your code, explaining the purpose of each function, logic, and any important considerations. Good documentation helps in understanding and maintaining the code in the future.

  9. Review and Learn : Reflect on the problem-solving process and the lessons learned. Review the code, analyze any challenges faced, and seek feedback from peers or mentors. This continuous learning process improves your problem-solving skills over time.

Contributing

Contributions are welcome! If you have a new problem to add, improvements to existing solutions, or any other valuable contributions, please follow these steps:

  • Fork the repository.
  • Create a new branch for your contribution.
  • Make your changes and commit them.
  • Push your changes to your forked repository.
  • Submit a pull request to the main repository.

Please ensure that your contributions adhere to the repository's coding standards and guidelines. Add appropriate comments and documentation to make the code understandable and maintainable.