Done Pandas2

[sakshiasati17]

No description provided.

[super30admin]

1. Correctness:

   • For Problem 1 (Article Views I), the solution correctly identifies authors who viewed their own articles, removes duplicates, sorts the results, and returns the expected output format. This appears to be correct.
   • For Problem 2 (Invalid Tweets), the solution correctly identifies tweets with content length greater than 15 characters and returns their tweet IDs. This also appears to be correct.

2. Time Complexity:

   • Problem 1: The operations include filtering (O(n)), dropping duplicates (O(n log n) worst case), sorting (O(n log n)), and column selection (O(n)). The overall complexity is O(n log n).
   • Problem 2: The string length operation is O(n) for each tweet, and the filtering is O(n). The overall complexity is O(n).

3. Space Complexity:

   • Problem 1: The space complexity is O(n) in the worst case when all authors view their own articles.
   • Problem 2: The space complexity is O(n) in the worst case when all tweets are invalid.

4. Code Quality:

   • The code is generally well-structured and readable.
   • Variable names are descriptive (e.g., inValid could be improved to is_invalid for better clarity).
   • The use of pandas operations is appropriate.
   • For Problem 1, the inplace parameter is used correctly, but the intermediate DataFrames could be chained for better readability.

5. Efficiency:

   • Both solutions are efficient for their respective problems.
   • For Problem 1, the sorting step could be avoided if the problem doesn't explicitly require sorted output, but since the problem likely expects sorted results, this is acceptable.
   • For Problem 2, the solution is already optimal.

Areas for Improvement:

• Consider chaining operations in Problem 1 for better readability, e.g., using method chaining.
• Improve variable naming in Problem 2 (inValid to is_invalid).
• Add docstrings to explain the function's purpose and return value.