Pandas2: Problem Solutions_RN32MAY2025DS

[Feminto]

No description provided.

[super30admin]

Let's evaluate each file separately:

1. Article View I.py:

• Correctness: The solution correctly identifies authors who viewed their own articles by comparing author_id and viewer_id, then returns unique sorted IDs. This appears correct.
• Time Complexity: O(n) for filtering + O(m log m) for sorting (where m is number of matches), which is reasonable.
• Space Complexity: O(m) for storing filtered results, which is optimal.
• Code Quality: Good variable naming and clean structure. Could add a docstring explaining the function.
• Efficiency: Could potentially use drop_duplicates() instead of unique() to avoid creating intermediate arrays.

2. InvalidTweets.py:

• Correctness: The solution correctly filters tweets with content length >15 characters, but the problem might require tweets with <=15 characters (invalid ones). This appears to be the opposite of what's typically required.
• Time Complexity: O(n) for filtering, which is optimal.
• Space Complexity: O(k) where k is number of matches, which is optimal.
• Code Quality: Clean and simple, but needs a docstring. Variable name 'df' could be more descriptive.
• Efficiency: The string length operation is efficient, but the logic might be reversed from requirements.

Key improvements needed:

• For InvalidTweets.py, verify if the filtering condition is correct (should likely be <=15)
• Both files should include docstrings
• Consider more descriptive variable names in some cases
• Article View I could use drop_duplicates() for slightly better efficiency