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Assume that a and b are 2-dimensional NumPy arrays of the same shape. Write a statement that creates a 2-dimensional NumPy array c whose rows consist of the rows of a, followed by the rows of b. So c is the concatenation of a and b. You may assume that numpy has been imported as np So, if a is the 3x2 NumPy array [1, 2], [3, 4], [5,6]] and b is the 3x2 NumPy array [[10, 9], [8, 7], [6, 5]], then c will be the 6x2 2- dimensional NumPy array [[1, 2], [3, 4], [5,6], [10, 9], [8, 7], [6, 5]] Assume that a is a 2-dimensional NumPy array of shape (4,2) and that b is a 2-dimensional NumPy of shape (2, 3). Write a statement that creates a 2-dimensional NumPy array c of shape (4,3) that is equal to the product of a and b, considered as matrices You may assume that numpy has been imported as np So, if a is the 4x2 NumPy array [[1, 2], [3, 4], [5,6](7,81] and b is the 2x3 NumPy array [[0, 1, 21, [3, 4, 5j, then c will be the 4x3 NumPy array [[ 6, 9, 12], [12, 19, 26], [18, 29, 40], [24, 39, 54]]