Dear numpy users, I am converting some code from matlab to numpy/scipy, but still a bit confused by numpy, mostly the array vs matrix issue. Looking at the scipy website, the matrix type looks the closest to matlab syntax, but I still have some issues: - under matlab, everything, including scalar, are matrices in matlab sense. In python, they are not. So, of I want to handle scalar case in a function which takes arrays, what should I do ? Having special case for scalar sounds like a pain, so is asarray/asmatrix the best way to handle those cases so my function only deal with array types ? - what is the difference between matrix and array, except syntax ? If I want to handle both in one function, what is the "best" method ? Using one type only (for example matrix), and using asmatrix on all arguments accordingly ? To convert my matlab code, I was thinking about using asmatrix for arguments in all my functions, but I am not sure this is really the "right" way. I was hoping some other people would have some experience with the same issues, and could give me some general advices thank you, David P.S: it would be great to have this kind of information on scipy website; right now, the scipy for matlab users part is a bit sparse... I am willing to change this once I understand the problem myself, of course:)