Math, Linear Algebra, Python, Numpy, Computation.
2], [3, 4]]) matrix2 = np.array([[5, 6], [7, 8]]) result = matrix1.dot(matrix2) print(result) # Output: [[19 22] # [43 50]] Transpose: The transpose of a matrix is a new matrix in which the rows and columns of the original matrix are swapped. In NumPy, we can find the transpose of a matrix using