Completed Pandas5

[kaaviyavarrshini]

No description provided.

[super30admin]

The student has provided solutions for two different problems, which shows good initiative. Let's evaluate each solution separately.

For Problem1_DeptHighSalary.py:

1. Correctness: The solution appears to correctly identify employees with the highest salary in each department. Both approaches (using MAX and Rank) are valid and should work correctly.
2. Time Complexity: Both solutions have O(n) complexity for grouping and merging operations, which is efficient.
3. Space Complexity: The solutions create new DataFrames during operations, so space complexity is O(n).
4. Code Quality: The code is generally clean, but there are some issues:
   • There are two solutions in the same function, which is confusing. They should be separate functions.
   • The type ignore comments suggest the student might be ignoring type hints, which isn't ideal.
   • The column renaming could be more descriptive (e.g., 'Department' vs 'name_y').
5. Efficiency: Both approaches are efficient, but the MAX approach might be slightly more performant as it doesn't require ranking all salaries.

For Problem2_RankScores.py:

1. Correctness: The solution correctly ranks scores in descending order using dense ranking.
2. Time Complexity: The ranking operation is O(n log n) due to sorting.
3. Space Complexity: O(n) for storing the ranks.
4. Code Quality: The code is clean and straightforward. Good use of pandas functionality.
5. Efficiency: The solution is efficient for the problem requirements.

General areas for improvement:

• Add docstrings to explain what each function does.
• Consider adding comments for complex operations.
• The type ignore comments should be addressed by properly handling types.
• For Problem1, the two solutions should be separate functions with clear names.