Python Multiply Matrices
import numpy as np # Example 1: Matrices from Slide 6 A1 = np.array([[2, 0], [1, 3]]) B1 = np.array([[1, 4], [2, 5]]) C1 = np.dot(A1, B1) # Perform matrix multiplication print(C1) 
C1v2 = A1.dot(B1) print(C1v2) 
# Example 2: Random number problem matrices A2 = np.array([[7, 4, 8], [5, 7, 3]]) B2 = np.array([[7, 8], [5, 4], [8, 8]]) C2 = np.dot(A2, B2) # Perform matrix multiplication print(C2) 
# Function to check if two matrices can be multiplied def can_multiply(mat1, mat2): if mat1.shape[1] == mat2.shape[0]: result_size = (mat1.shape[0], mat2.shape[1]) print(f"Matrices of shapes {mat1.shape} and {mat2.shape} CAN be multiplied.") print(f"The resulting matrix will have dimensions: {result_size}") return result_size else: print(f"Matrices of shapes {mat1.shape} and {mat2.shape} CANNOT be multiplied.") return None # Example usage of the function print("\nCan A1 and B1 be multiplied?") can_multiply(A1, B1) 
print("\nCan A2 and B2 be multiplied?") can_multiply(A2, B2) 
