Pandas5 Submitted

[PranathiDeepak]

No description provided.

[super30admin]

The student's solution demonstrates a good understanding of pandas operations and solves the problems effectively. Here's a detailed evaluation:

1. Problem1.py (department_highest_salary):

   • Correctness: The solution correctly identifies employees with the highest salary in each department using merge and transform operations.
   • Time Complexity: O(n log n) due to the merge and groupby operations.
   • Space Complexity: O(n) as it creates intermediate DataFrames.
   • Code Quality: The code is clean and readable. The column renaming at the end is a nice touch.
   • Improvement: Could handle edge cases where multiple employees share the same max salary in a department. The current solution already handles this correctly by keeping all max-salary employees.

2. Problem2.py (order_scores):

   • Correctness: Correctly ranks scores using dense ranking and sorts by rank.
   • Time Complexity: O(n log n) for the ranking and sorting operations.
   • Space Complexity: O(n) for storing the new rank column.
   • Code Quality: Simple and effective solution. Good use of pandas' rank method.
   • Improvement: Could consider adding a reset_index(drop=True) to get cleaner output indices.

Strengths:

• Effective use of pandas operations (merge, groupby, transform, rank)
• Clean and concise code
• Proper column renaming in Problem1
• Correct handling of ranking requirements in Problem2

Areas for Improvement:

• Could add docstrings to explain function purposes
• Might want to handle potential null values in the data
• Could consider memory efficiency by using inplace operations where possible