Completed Pandas2

[DhruvParashar246]

No description provided.

[super30admin]

1. Correctness:

   • For "Article Views I": The solution correctly identifies authors who viewed their own articles by comparing 'author_id' and 'viewer_id', then returns the unique sorted IDs. This appears correct.
   • For "Invalid Tweets": The solution incorrectly returns tweets with content length > 15 when it should return those with length <= 15 (assuming standard invalid tweet definition). This is incorrect.

2. Time Complexity:

   • Both solutions use pandas filtering operations which are O(n) where n is the number of rows in the DataFrame.
   • The sorting operation in "Article Views I" adds O(m log m) where m is the number of matching rows.

3. Space Complexity:

   • Both solutions create new DataFrames (df) which requires O(k) space where k is the number of matching rows.
   • The space usage is reasonable for these operations.

4. Code Quality:

   • The code is generally clean and follows pandas best practices.
   • Variable names are clear (df, views, tweets).
   • Could benefit from comments explaining the logic, especially for "Invalid Tweets" where the requirement might be ambiguous.

5. Efficiency:

   • "Article Views I" could potentially combine the drop_duplicates and sort operations into a single sort if performance is critical.
   • "Invalid Tweets" needs to correct the filtering condition (should be <= 15 instead of > 15).