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@Aniruddh-2512
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The student's solution appears to be a collection of Jupyter notebook files rather than a focused solution to a specific problem titled "Pandas1". The files contain various pandas operations, but none seem directly related to a problem called "Pandas1".

Strengths:

  1. The code snippets demonstrate basic understanding of pandas operations like filtering DataFrames and selecting columns.
  2. The solutions for specific problems (like finding big countries or customers who never ordered) are logically correct in their approach.

Areas for Improvement:

  1. The submission doesn't address a clear "Pandas1" problem - it's unclear what the actual problem requirements were.
  2. The code lacks context - there are no problem statements or explanations of what each solution is trying to achieve.
  3. No error handling or input validation is present.
  4. The solutions assume DataFrames are already defined rather than showing how to load data.
  5. The .DS_Store file should not be included in submissions.

For future submissions:

  1. Clearly identify which solution corresponds to which problem.
  2. Include problem statements or requirements.
  3. Show complete solutions including data loading steps.
  4. Remove unnecessary system files like .DS_Store.
  5. Consider adding comments explaining the logic.

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2 participants