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Strengths:

  1. The solution correctly implements the dynamic programming approach to generate Pascal's Triangle.
  2. The code is well-commented with clear explanations of the approach and complexity analysis.
  3. The use of list comprehensions for initialization is efficient and Pythonic.
  4. The handling of edge cases (like numRows = 0 or 1) is implicit in the code structure.

Areas for Improvement:

  1. While the solution is correct, the reference solution in C++ uses a slightly different approach by building each row incrementally. The student's Python solution initializes all elements to 1 first, which is fine but could be noted as a difference in approach.
  2. The student could consider adding a check for numRows = 0 to return an empty list explicitly, though the current implementation handles it correctly by returning an empty list when numRows is 0.

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