Completed Pandas2

[kaaviyavarrshini]

No description provided.

[super30admin]

Let me evaluate each solution separately.

For Problem1_Articles.py:

1. Correctness: The solution correctly identifies authors who viewed their own articles by comparing author_id and viewer_id, removes duplicates, and sorts the result. This appears correct.
2. Time Complexity: O(n) for filtering, O(m log m) for sorting (where m is the number of matches), which is reasonable.
3. Space Complexity: O(m) for storing the filtered results, which is optimal.
4. Code Quality: The code is concise but could be more readable with better variable naming (df -> self_viewers) and spacing around operators.
5. Efficiency: The solution is efficient, though inplace operations could be avoided for better functional style.

For Problem2_InvalidTweets.py:

1. Correctness: Correctly identifies tweets with content length >15 characters and returns their IDs.
2. Time Complexity: O(n) for the length check, which is optimal.
3. Space Complexity: O(k) where k is invalid tweets, which is optimal.
4. Code Quality: Good, but could use more descriptive variable names (invalid -> invalid_tweets_df).
5. Efficiency: Very efficient solution.

General suggestions:

1. Add docstrings explaining what each function does
2. Consider using more descriptive variable names
3. Add spaces around operators for better readability
4. Consider returning copies instead of modifying inplace (Problem1)