Pandas2 Completed

[HaswathaSridharan]

No description provided.

[super30admin]

1. Correctness:

   • Problem 1 (Article Views I): The solution correctly identifies authors who viewed their own articles by comparing author_id and viewer_id, removes duplicates, and returns the sorted list of author IDs. This appears to be correct.
   • Problem 2 (Invalid Tweets): The solution correctly identifies tweets with content length greater than 15 characters and returns their tweet IDs. This also appears to be correct.

2. Time Complexity:

   • Problem 1: O(n) for the comparison operation, O(k log k) for sorting (where k is the number of unique authors), making it O(n + k log k) overall.
   • Problem 2: O(n) for the string length comparison operation, which is optimal.

3. Space Complexity:

   • Problem 1: O(k) where k is the number of unique authors who viewed their own articles.
   • Problem 2: O(m) where m is the number of invalid tweets, which is optimal.

4. Code Quality:

   • The solutions are concise and use pandas effectively.
   • The formatting could be improved - there's excessive whitespace between problems.
   • Adding docstrings or comments explaining the logic would improve readability.
   • The variable name 'df' in Problem 1 could be more descriptive (e.g., 'self_viewers').

5. Efficiency:

   • Both solutions are efficient for their respective problems.
   • No major optimizations needed, though using .copy() when creating filtered DataFrames could prevent potential SettingWithCopyWarning issues in more complex scenarios.