Hi,
we are working on a small scientific program that helps us in developing
and testing of new numerical methods for a certain type of biochemical
problems. I spare you the math ;-)
We code our new methods in Python and compare them with the existing
methods. Unfortunately, these existing methods are quite slow and need a
lot of runtime. Therefor we implemented them in C++.
Now, we like to combine these two approaches. So we can develop a new
method in Python and compare it easily with the results from the C++
functions.
I did some googleing on extending Python by C++ code but I did not find
something that satisfies me. I gave SWIG a try, but several webpages
disadvised me of using it. Also my small experiments did not work. Now,
I read about ctypes. But as far as I understood it, I have to write a C
wrapper for my C++ code and then a Python wrapper for my C code. That
seems a little complicated.
My C++ code is structured as a class that contains several variables and
functions. Then everything is compiled as a shared library. I can write
things like:
MyClass.initialvalue = 5;
MyClass.timestep = 0.1;
...
MyClass.solve();
I would like to keep this structure in python, but if I understand
ctypes correctly I would loose the class approach.
So after the long writeup I come to my questions:
What are you using to wrap C++ classes for Python?
Can you recommend swig? Should I give it another try?
Did I misunderstood ctypes?
Also later on in our code development we would like to pass python
lambda functions to C++. So far I understood that this seems not to be
possible. Do you have any ideas or hints on this topics?
Thank you very much.
Cheers,
Michael
--
https://mail.python.org/mailman/listinfo/python-list
