How to parallelize an 2D array?

[Felipe]

Why do you believe you need to parallelize this?

You seem to be using numpy incorrectly/badly so you should probably address that first.

>>> import numpy as np
>>> a = np.array([[1,2,3],[4,5,6],[7,8,9]])
>>> a
array([[1, 2, 3],
       [4, 5, 6],
       [7, 8, 9]])
>>> np.sum(a) # total sum of array
45
>>> np.sum(a, 0) # sums of each column
array([12, 15, 18])
>>> np.sum(a, 1) # sums of each row
array([ 6, 15, 24])
>>>

Hi, thanks for your answer.

Let me try to be more clear. The code that I wrote above, its only a simple example to try to learn how to parallelize a situation using an 2D array. The real code that I want to parallelize is much more complex, involving minimization algorithms and another stuffs. But I can't do it, if first don't learn how to do it in a simple example, like the one that I posted in this thread.