You might find out a lot from reading through this page: http://www.scipy.org/NumPy_for_Matlab_Users
What I think that doesn't say is why the two classes are needed in NumPy. Basically, the reason for that is that Matlab has .* and * which mean different things, but Python only has the one * operator. Some people think that should mean .*, some want it to mean *. So NumPy offers two different classes with different behavior instead of two different operators. --bb On Fri, Apr 18, 2008 at 4:02 AM, Santanu Chatterjee <[EMAIL PROTECTED]> wrote: > Hi Numpy users, > I used MATLAB to do numerical calculations for a long time. Recently I > am digging into python and numpy. I am wondering about the following > question : > > 1) What is the difference between ndarray and matrix in numpy? My idea is > that having N-dimensional array is sufficient (of course a MATLAB users > point of view). If anyone can provide some idea, I will appreciate it. > > Thanks & regards, > Santanu > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
