Pandas 2 Completed

[alokusw2]

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', drops duplicates, and returns the result in the required format. This appears correct.
   • Problem 2 (Invalid Tweets): The solution correctly identifies tweets with content length > 15 characters and returns their tweet_ids. This also appears correct.

2. Time Complexity:

   • Problem 1: O(n) where n is the number of rows in the DataFrame, due to the comparison operation and duplicate removal.
   • Problem 2: O(n) where n is the number of rows in the DataFrame, due to the string length check operation.

3. Space Complexity:

   • Problem 1: O(k) where k is the number of unique authors who viewed their own articles, as it creates a new DataFrame for the result.
   • Problem 2: O(m) where m is the number of invalid tweets, as it creates a new DataFrame for the result.

4. Code Quality:

   • Both solutions are concise and use pandas operations effectively.
   • The code is readable and follows Python naming conventions.
   • The solutions could benefit from brief comments explaining the logic, especially for beginners.
   • The formatting is clean, though the problems are separated by excessive whitespace.

5. Efficiency:

   • Both solutions are already quite efficient for their respective problems.
   • No major optimizations are needed, though for very large DataFrames, vectorized operations (which pandas already uses) are optimal.