<｜begin▁of▁sentence｜>### Instruction:
As a User Experience Researcher, imagine you are working on a software project where you need to compare two datasets represented by two-dimensional lists to determine if they are exactly the same. The comparison is crucial for ensuring that the data processing algorithms are functioning as intended. In this scenario, you would need to understand if the process that creates instances of these matrices and compares them for equality is efficient and effective for ensuring data accuracy. This could involve conducting usability studies to gather feedback on the current comparison process and identifying ways to improve user experiences when working with the datasets.
### Response:
from Matrix import Matrix

# Create two matrix instances
A = Matrix([[1, 2], [3, 4]])
B = Matrix([[1, 2], [3, 4]])
C = Matrix([[2, 3], [4, 5]])

# Check if matrices A and B are equal
are_equal_A_B = A == B
print(f'Matrix A is equal to Matrix B: {are_equal_A_B}')

# Check if matrices A and C are equal
are_equal_A_C = A == C
print(f'Matrix A is equal to Matrix C: {are_equal_A_C}')
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