>>> import numpy as np
>>> f = lambda x: x**2
>>> seq = map(f, range(5))
>>> np.fromiter(seq, dtype=np.int)
array([ 0, 1, 4, 9, 16])
import numpy as np
x = np.array([1, 2, 3, 4, 5])
# Obtain array of square of each element in x
squarer = lambda t: t ** 2
squares = np.array([squarer(xi) for xi in x])