Ive been asked to formulate a python course for financial services folk. If I actually knew about the subject, I'd have fatter pockets! Anyway heres some thoughts. What I am missing out?
[Apart from basic python -- contents typically needs tailoring to the audience] the following: - Libraries -- Decimal? - scripts -- philosophy and infrastructure eg argparse, os.path - Pandas - Numpy Scipy (which? how much?) - ipython + matplotlib + ?? - Database interfacing - Excel interfacing (couple of libraries.. which?) - C(C++?) interfacing paradigms -- ranging from ctypes, cython to classic lo-level -- https://mail.python.org/mailman/listinfo/python-list
