Added two problems

[hinduja97]

No description provided.

[super30admin]

1. Correctness:

   • For problem1.py, the solution correctly identifies authors who viewed their own articles by comparing 'author_id' and 'viewer_id', removes duplicates, and returns the sorted result. This appears correct.
   • For problem2.py, the solution correctly identifies tweets with content length greater than 15 characters and returns their tweet IDs. This also appears correct.

2. Time Complexity:

   • For problem1.py: O(n log n) due to the sort operation, where n is the number of rows in the DataFrame. The filtering and duplicate removal are O(n) operations.
   • For problem2.py: O(n) where n is the number of rows in the DataFrame, as it only involves filtering based on string length.

3. Space Complexity:

   • For both problems, the space complexity is O(m) where m is the number of rows in the output DataFrame, as new DataFrames are created for the results.

4. Code Quality:

   • The code is concise but could benefit from better formatting and spacing for improved readability.
   • Variable names like 'df' are not very descriptive. More meaningful names would improve code clarity.
   • The chaining of operations in problem1.py is efficient but could be split into multiple lines for better readability.
   • Both solutions follow a functional approach which is good for pandas operations.

5. Efficiency:

   • The solutions are already quite efficient for their respective problems.
   • For problem1.py, the sort operation could potentially be avoided if the order isn't strictly required, but since the problem asks for sorted output, this is appropriate.

Areas for Improvement:

• Add docstrings to explain what each function does.
• Consider breaking long method chains into multiple lines for better readability.
• Use more descriptive variable names.
• Add comments to explain complex operations if necessary.