Thank you all for your kind suggestions. It seem that cython and boost.python both look like a good suggestions; SWIG seems like a good tool, but may not meet my requirements. Quick google seems to suggest that boost.python is 7 times slower [1], however. Any thoughts about speed performance between the two?
[1] http://blog.chrischou.org/2010/02/28/simple-benchmark-between-cython-and-boost-python/ Thank you, Paul And a link I found today. [2] http://koichitamura.blogspot.com/2008/06/various-ways-to-integrate-python-and-c.html On Sun, Oct 17, 2010 at 1:56 PM, Sithembewena Lloyd Dube <zebr...@gmail.com> wrote: > Also have a look at Boost.Python: > > http://www.boost.org/doc/libs/1_44_0/libs/python/doc/index.html > > On Fri, Oct 15, 2010 at 11:29 PM, Paul <paula...@gmail.com> wrote: >> >> Hi there, >> >> I've been using C/C++ for many years (python, just reading about it). >> >> I have a software written in C/C++ but considering porting most of it >> to python, as it seems like it's a better choice for decision making >> portion of the code. I'm also thinking about having a 'matlab' like >> interface for reading, processing, and writing. >> >> In my current C++ code, I would read data into a vector of structs >> (which contains other simple vectors, strings, and structs) and it can >> be as large as 500MB to 2GB. The data gets processed (requires random >> access). The result is then written out. >> >> I would like to make modules for python. The problem is that the >> vector of structs that is very large. First, is it possible to pass >> such structures around to and from python and C/C++? What would be >> the overhead cost of having a large structure that needs to be passed >> to and from the C/C++ modules? >> >> # I imagine I'd use the newly written software this way: >> >>> import c_stuff # my C/C++ module >> >>> largestuff = c_stuff.read(file) # read from disk >> >>> c_stuff.process(largestuff, someparams1) # processing, requires >> >>> random access to the vector >> >>> c_stuff.process(largestuff, someparams2) >> ... >> >>> c_stuff.process(largestuff, someparams10000) # the whole thing may >> >>> take a few minutes to days >> >>> >> >>> import python_stuff # some module written in python to process the >> >>> data as well >> >>> >> >>> python_stuff.process(largestuff, otherparams1) # It's important that >> >>> this data can be read (and I hope written) by python code >> >>> python_stuff.process(largestuff, otherparams2) >> >>> >> >>> c_stuff.write(largestuff) #write result >> >> Thank you in advance, >> Paul >> _______________________________________________ >> Tutor maillist - tu...@python.org >> To unsubscribe or change subscription options: >> http://mail.python.org/mailman/listinfo/tutor > > > > -- > Regards, > Sithembewena Lloyd Dube > http://www.lloyddube.com > _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: http://mail.python.org/mailman/listinfo/tutor
