Hi, I am relatively new to Python/NumPy switching over from Matlab and while porting some of my matlab code for practice I ran into the following problem. Assume we have a 2D Matrix such that a = array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) If I want the second row I can simply enough take c = a[1] However, I would like to do a similar operation on the columns of the 2D Array. In matlab I could simply do c = a(:,2) to get the values array([2,5,8]) In numPy this seems to not be a valid operation. I understand that since numPy arrays are more akin to C pointer this cannot be done as easily so my question is; what is the best way to go around obtaining the column information I want the "numPy" way? I could simply take a transpose and get the information this way but this seems wasteful.