Comparing Matlab and Numpy code that uses random number generation

Question

Is there some way to make the random number generator in numpy generate the same random numbers as in Matlab, given the same seed?

I tried the following in Matlab:

Answer 1

As Bakuriu suggest it works using MATLABs twister:

MATLAB:

>> rand('twister', 1337)
>> rand()

ans =

    0.2620

Python (Numpy):

>>> import numpy as np
>>> np.random.seed(1337)
>>> np.random.random()
0.2620246750155817