I understand that psyco significantly increases memory use. Is that for
code or data? More specifically, if I've got a memory intensive
application (it might use 100's of Mbytes of data), should I expect
memory use to go up significantly under psyco?
Also, for that memory intensive application, how should I expect Python
memory use to compare with C++? I'm really only interested in data; the
memory needed to store the code is almost certainly insignificant in
The data is a large number of small objects, interconnected in various
data structures, not just one huge block of raw data.
I know all of the above is very vague, but I'm just trying to get a
rough idea if a Python implementation is feasable (or at least
plausable). If a C++ version takes 300 Mbytes and a Python version
takes 1 Gig, that's probably not going to work. Are there any rules of
thumb I could use to get a first-order estimate?