I use Python to generate a huge amount of data in a .csv file which I then process using Excel. In particular, I use Excel's solver to solve a number of non-linear equation, and then regress the results of hundreds of calls to Solver against a set of known values, enabling me to calibrate my model. This is a pain: i'd much rather perform all the computations in Python and improve on Excels' regression as well.
Questions: 1. Is there a way to perform (or make a call to) a non-linear optimization from Python? 2. Do Python packages for robust statistics (robust regression in particular) exist. If so, which one would you recommend/ Thanks, as always, in advance for the guidance Thomas Philips -- http://mail.python.org/mailman/listinfo/python-list
