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@desaiparam
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  • Strengths:
    • The student demonstrates a strong understanding of backtracking and DFS techniques.
    • The code is clean, modular, and well-commented, making it easy to understand.
    • The student correctly analyzes and states the time and space complexities.
  • Areas for Improvement:
    • In nqueens.py, the variable names like 'li' and 'sb' could be more descriptive (e.g., 'row_string' instead of 'sb').
    • In word.py, the 'dirs' list could be defined as a class-level constant if it's not expected to change, though this is a minor point.
    • The comments could be slightly more detailed to explain the backtracking and DFS steps in more depth.

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