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Completed Pandas1#63

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Completed Pandas1#63
sangeeths29 wants to merge 1 commit intosuper30admin:mainfrom
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The student's solutions demonstrate a good understanding of pandas operations for solving these LeetCode problems. Here's a detailed evaluation:

  1. Correctness:
  • Problem 2 (Big Countries): Correctly filters countries based on area or population criteria.
  • Problem 3 (Recyclable Products): Properly identifies products meeting both conditions.
  • Problem 4 (Customers Never Order): Correctly uses ~isin() to find customers without orders.
  1. Time Complexity:
  • All solutions use pandas vectorized operations which are efficient (O(n) for filtering operations).
  • The ~isin() operation in Problem 4 is particularly well-chosen for this task.
  1. Space Complexity:
  • All solutions create new DataFrames (df) which requires O(n) space, but this is standard for pandas operations.
  1. Code Quality:
  • Good:
    • Consistent style and formatting
    • Clear variable naming
    • Appropriate use of pandas operations
  • Areas for improvement:
    • Could add docstrings explaining the functions
    • In Problem 4, the rename operation could be more readable if done separately
  1. Efficiency:
  • All solutions are already quite efficient using pandas' built-in operations.
  • No major optimizations needed, though for very large datasets, memory usage could be considered.

Edge Cases:

  • Problem 2: Handles cases where either condition is met.
  • Problem 3: Correctly uses & for both conditions.
  • Problem 4: Properly handles empty orders DataFrame.

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