The Numpy module includes libraries for numerical calculations. There are array-based calculations, and matrix-based calculations. For example, the cell below defines a small 2 x 2 array, and then does two kinds of multiplication. # a small array twobytwo = np.array([[1, 2], [3, 4]]) # array-based array_product = 2 * twobytwo * twobytwo # matrix-based matrix_product = 2 * np.matmul(twobytwo, twobytwo) # print them both print(array_product) print(matrix_product) [[ 28] [18 32]] [[14 20] (30 44]] Task 1 Questions 1. (Easy) Explain the difference between the two products. Your answer here 2. (Deeper) Python uses the multiplication operator * for normal Python numbers, but here we see it being used for NDArrays. How does Python know which kind of multiplication to do? Your answer here