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Completed Pandas5#43

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DhruvParashar246 wants to merge 1 commit intosuper30admin:mainfrom
DhruvParashar246:main
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Completed Pandas5#43
DhruvParashar246 wants to merge 1 commit intosuper30admin:mainfrom
DhruvParashar246:main

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@DhruvParashar246
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@super30admin
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The student has provided solutions to two different problems. Let's evaluate each one separately.

  1. Department Highest Salary:
  • Correctness: The solution correctly merges the employee and department tables, finds the maximum salary per department, and filters employees who have that maximum salary. The output columns are renamed appropriately.
  • Time Complexity: O(n) for the merge operation and O(n) for the groupby operation, making it O(n) overall where n is the number of employees.
  • Space Complexity: O(n) for storing the merged DataFrame.
  • Code Quality: The code is clean and readable. The use of transform() is efficient. One improvement could be to add comments explaining the steps.
  • Efficiency: The solution is efficient. No major optimizations needed.
  1. Rank Scores:
  • Correctness: The solution correctly ranks the scores using dense ranking and sorts them in descending order.
  • Time Complexity: O(n log n) for the ranking and sorting operations.
  • Space Complexity: O(n) for storing the ranks.
  • Code Quality: The code is concise and readable. The method='dense' parameter is correctly used for the ranking.
  • Efficiency: The solution is efficient. One minor improvement could be to use inplace=True for the rank operation to avoid creating a new column.

General feedback:

  • Both solutions are correct and efficient.
  • The code is well-structured and follows pandas best practices.
  • Adding comments would improve readability and maintainability.
  • The student could consider edge cases like empty DataFrames or ties in scores.

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