Completed Pandas2

[sangeeths29]

No description provided.

[super30admin]

The student has provided solutions for two problems using pandas, demonstrating a good understanding of DataFrame operations. Here's a detailed evaluation:

1. Article Views I:

   • Correctness: Both approaches correctly identify authors who viewed their own articles and return the unique sorted IDs. Approach 2 is more concise and efficient.
   • Time Complexity: O(n log n) for sorting in both approaches, but Approach 2 avoids the additional drop_duplicates step.
   • Space Complexity: O(n) for both, but Approach 2 might be slightly better as it doesn't create intermediate DataFrames.
   • Code Quality: Both approaches are readable, but Approach 2 is cleaner. The student could consider removing Approach 1 since Approach 2 is superior.
   • Efficiency: Approach 2 is more efficient as it uses unique() which is generally faster than drop_duplicates().

2. Invalid Tweets:

   • Correctness: The solution correctly identifies tweets with content length > 15 characters and returns their IDs.
   • Time Complexity: O(n) for the string length operation and filtering.
   • Space Complexity: O(n) for the resulting DataFrame.
   • Code Quality: The code is concise and readable. The variable name 'invalid' could be more descriptive (e.g., 'is_invalid').
   • Efficiency: The solution is already efficient, though using .loc[] for selection might be slightly more idiomatic pandas.

General suggestions:

1. Consider adding docstrings to explain the function purpose and return values.
2. For the Article Views problem, Approach 2 is clearly better and could be the only implementation.
3. Variable names could be more descriptive (e.g., 'df' is too generic).
4. The solutions follow good pandas practices, but could benefit from more comments explaining the steps.