Thank you to all who replied online or offline. This has been quite helpful.
-- TMK -- 212-460-5430 home 917-656-5351 cell >From: "John Krukoff" <[EMAIL PROTECTED]> >To: "'Talbot Katz'" <[EMAIL PROTECTED]> >CC: <python-list@python.org> >Subject: RE: Questions about mathematical and statistical functionality in >Python >Date: Thu, 14 Jun 2007 15:53:40 -0600 > >On Jun 14, 4:02 pm, "Talbot Katz" <[EMAIL PROTECTED]> wrote: > > Greetings Pythoners! > > > > I hope you'll indulge an ignorant outsider. I work at a financial > > software > > firm, and the tool I currently use for my research is R, a software > > environment for statistical computing and graphics. R is designed with > > matrix manipulation in mind, and it's very easy to do regression and >time > > series modeling, and to plot the results and test hypotheses. The kinds > > of > > functionality we rely on the most are standard and robust versions of > > regression and principal component / factor analysis, bayesian methods > > such > > as Gibbs sampling and shrinkage, and optimization by linear, quadratic, > > newtonian / nonlinear, and genetic programming; frequently used graphics > > include QQ plots and histograms. In R, these procedures are all >available > > as functions (some of them are in auxiliary libraries that don't come >with > > the standard distribution, but are easily downloaded from a central > > repository). > > > > For a variety of reasons, the research group is considering adopting > > Python. > > Naturally, I am curious about the mathematical, statistical, and > > graphical > > functionality available in Python. Do any of you out there use Python >in > > financial research, or other intense mathematical/statistical >computation? > > Can you compare working in Python with working in a package like R or S- > > Plus > > or Matlab, etc.? Which of the procedures I mentioned above are >available > > in > > Python? I appreciate any insight you can provide. Thanks! > > > > -- TMK -- > > 212-460-5430 home > > 917-656-5351 cell > > > > > > -- > > http://mail.python.org/mailman/listinfo/python-list > >It is worth noting that there's a bridge available to allow python to >integrate cleanly with R, the Rpy project: >http://rpy.sourceforge.net/ > >Which should allow you to use python for whatever it is you need without >abandoning R for your mathematical/statistical work. > >--------- >John Krukoff >[EMAIL PROTECTED] > -- http://mail.python.org/mailman/listinfo/python-list
