> By large I mean an application with intensive operations, such > as a fancy GUI maybe a couple of threads, accessing a > database, etc.
I can't say I've had any python related problems on such matters. I've done some modestly large-sized apps, and the bottlenecks are almost always I/O bound...disk, network, database (which is regularly disk or network bound). Some stuff has done some fairly intense computation, and it's usually an algorithmic problem, not a python problem (in my case, it was an O(n^2) comparison of every element in one list with every element in another list to find a "closest" string match to try and gently merge two datasets on merely a person's ill-formatted name). I'm not sure I'd write a hard-core nuclear-explosion simulator or render intense 3d graphics within python. But I'd readily use python to glue together low-level optimized versions of libraries such as OpenGL where performance counts... -tkc -- http://mail.python.org/mailman/listinfo/python-list
