I am looking for a way to access a matlab module from python. My current situation is this:

• I have a python code that does numerical computations by calling Lapack routines while the memory is allocated as ctypes and passed as pointers to the Lapack routines.
• I also have a matlab module, which is compatible with octave, that does some mathematical tricks I want to use.

My question now is this:
What is an efficient way to keep all the main work in python while at the same time exploit the possibilities that matlab/octave modules offer. Also it would be kind of nice, if my ctype arrays do not have to be converted into some other object in order to run octave. However, I can see that that last point is hard to accomplish. 

My current research shows me two possible options:

1. Pytave: However it seems that this packages is kind of pre alpha?!
2. Go this humpy road: ctypes -> *.mat file (via numpy) -> octave -> *.mat file -> ctypes (via numpy) 

Answers: 

You can use oct2py, which IIUC was started by its author because pytave didn't work on win32. It is successfully used in IPython through its octavemagic extension and I can tell it is easy to use on its own, the code is maintained (I reported a little Unicode bug and the author fixed it in a day) and works well. Most of the times is as simple as: 

 >>> from oct2py import octave
>>> octave.run("cos(pi / 3)")
'ans =  0.50000'
>>> octave.call("foo", a, b)  # Function in foo.m