how to solve this question for the easiest way? Replicate the numpy standard deviation function (np.std). You can't use the numpy stanard deviation function. You want to replicate this for matricies (2-dimensional). Your function should compute the standard deviation for all elements, along rows (axis =1), along columns (axis=0). See the matrix_mean function in the nested loop lesson. def matrix_std(m, axis=None):