Completed Pandas2

[Paneripatel]

No description provided.

[super30admin]

The student's solution demonstrates a good understanding of pandas operations for filtering and manipulating DataFrames. Here's a detailed evaluation:

1. Correctness:

• For Problem 1 (Article Views I), the solution correctly identifies authors who viewed their own articles, removes duplicates, and sorts the result. This matches the problem requirements.
• For Problem 2 (Invalid Tweets), the solution correctly filters tweets with content length > 15 characters and returns only the tweet_id column.

2. Time Complexity:

• Both solutions have O(n) time complexity for the filtering operations, which is optimal for these problems.
• The sort operation in Problem 1 adds O(n log n) complexity, but this is acceptable given the problem requirements.

3. Space Complexity:

• Both solutions have O(n) space complexity in the worst case, which is standard for these operations.

4. Code Quality:

• The code is well-structured and readable.
• Variable names are appropriate.
• The solutions follow pandas best practices for chaining operations.
• One minor improvement could be adding docstrings explaining the function's purpose and return value.

5. Efficiency:

• The solutions are already efficient for the given problems.
• For Problem 1, the drop_duplicates and sort_values operations could potentially be combined into a single operation using sort_values with the 'keep' parameter, but this is a minor optimization.

Potential Edge Cases:

• For Problem 1, the solution handles empty DataFrames correctly.
• For Problem 2, the solution would handle cases where content is None/NaN by raising an error (str.len() would fail). Adding a .notna() check would make it more robust.