I'm practicing like this in Leetcode is this okay or I need to change please let me know in comments where i should change

1. Understand the Problem

• Read the Problem Statement: Understand the requirements, constraints, and expected input/output formats.
• Clarify Doubts: If anything is unclear, make assumptions and clarify them upfront.

2. Plan Your Approach

• Choose the Right Approach: Based on the problem requirements, decide whether to use data structures like arrays, lists, stacks, queues, trees, graphs, etc.
• Select Algorithms: Determine which algorithms (sorting, searching, dynamic programming, graph traversal, etc.) are suitable for solving the problem efficiently.

3. Break Down the Problem

• Divide into Smaller Tasks: Break down the main problem into smaller subproblems or steps.
• Handle Edge Cases: Consider edge cases (empty inputs, single element inputs, maximum/minimum values, etc.) and plan how to handle them.

4. Implement the Solution

• Write Code Incrementally: Start coding with a simple approach and build upon it.
• Use Helper Functions: Divide the logic into helper functions to manage complexity and improve readability.
• Ensure Correctness: Test each component of your solution as you implement it to catch bugs early.

5. Test Your Solution

• Run Sample Test Cases: Test your solution with sample inputs provided in the problem statement.
• Create Custom Test Cases: Generate additional test cases to cover different scenarios and edge cases.

6. Optimize and Refactor

• Improve Time Complexity: Analyze the algorithm's time complexity and optimize if possible (e.g., reducing nested loops, using better data structures).
• Reduce Space Complexity: Similarly, optimize space usage (e.g., reusing variables, using in-place algorithms).

7. Handle Constraints and Edge Cases

• Consider Performance: Leverage data structures and algorithms that handle large inputs efficiently.
• Edge Cases: Ensure your solution handles all edge cases and unusual inputs correctly.

8. Review and Debug

• Review Your Code: Double-check for logical errors, typos, and potential off-by-one errors.
• Debug Methodically: Use debugging tools or print statements to trace the flow of your program and identify bugs.

9. Document Your Solution

• Write Comments: Document your code with comments to explain complex logic, assumptions, and reasoning.
• Explain Complexity: Mention the time and space complexity of your solution.

10. Practice Regularly

• Consistent Practice: Solve problems regularly to improve problem-solving skills and familiarize yourself with different patterns and techniques.
• Explore Patterns: Study common patterns in problem-solving (e.g., sliding window, two pointers, divide and conquer, dynamic programming) and practice applying them.