numpytest.py

import timeit

print 'pure sum', timeit.timeit('sum([1] * 10000)', number=100)
print 'numpy sum', timeit.timeit('numpy.sum([1] * 10000)', 'import numpy', number=100)

print 'pure sum', timeit.timeit('sum(x)', setup='x = [1] * 10000', number=100)
print 'numpy sum 1', timeit.timeit('numpy.sum(y)', 'import numpy; y = [1] * 10000', number=100)
print 'numpy sum 2', timeit.timeit('numpy.sum(z)', 'import numpy; z = numpy.array([1] * 10000)', number=100)
print 'numpy sum 3', timeit.timeit('numpy.sum(numpy.array(y))', 'import numpy; y = [1] * 10000', number=100)

result

pure sum 0.00882792472839
numpy sum 0.0815768241882
pure sum 0.00453400611877
numpy sum 1 0.0798940658569
numpy sum 2 0.000689029693604
numpy sum 3 0.0766530036926
numpy sum 3 0.0789029598236