Disclaimer #1: I am a Python newbie, and I appreciate the vast documentation at python.org -- some of which I expect has the answer to my question if I can find it.
I am working on a custom computational fluid dynamics code. I will create one or more compiled Python modules in C/C++ to provide new types and functions for manipulating those types. I have a *lot* of data. Efficiency requires that the new data structures be shared freely within the scope of the module, without directly exposing the data to the standard Python runtime environment. Stated another way, I need the data to persist in virtual memory across seprate invocations of functions in the module(s) and to be accessible only through methods explicitly provided by the module(s). How can I do this? What are some good examples to study? Disclaimer #2: I am a aware that strong opinions exist about closing off data from users. But it's a requirement for this application. I don't like it, but I need the job! Thanks for your time CatManDo -- http://mail.python.org/mailman/listinfo/python-list
