Hi Ray, As a first step you might want to look at numpy/scipy/matplotlib
numpy (numpy.scipy.org) provides the underlying data structures (array and matrices among other things) you require. This will handle all your vector stuff, reading/writing to and from files, "loop macros", etc. scipy (www.scipy.org) provides a set of scientific programming libraries, including stats, fft and many other things. Have a look around and see if it already does what you want. matplotlib (http://matplotlib.sourceforge.net/) takes care of all your plotting needs, and plays nice with numpy and scipy. HTH Tim On 7/7/06, Ray Tomes <[EMAIL PROTECTED]> wrote: > Hi Folks > > I am an old codger who has much experience with computers > in the distant past before all this object oriented stuff. > Also I have loads of software in such languages as FORTRAN > and BASIC, QBASIC etc that is very useful except that it > really doesn't like to run on modern operating systems and > has hopeless graphics resolution and lack of ease of use in > some ways. > > My desire is to get all the facilities available in my > old programs working in a modern platform with flexible > and high-res graphics and easy to use. Ideally I might > find some good coders that are interested in the subject > who would assist me, alternatively some help in getting > started because there is so much info and so many resources > and libraries etc that I don't know where to start. > > My package will have the following capabilities: > 1. Able to read time series data in a variety of formats. > 2. Able to create, manipulate and save time series files. > 3. Able to do vector arithmetic on time series, including > dozens of functions. > 4. Loop and macro facilities to simplify repetitive stuff. > 5. Flexible high-resolution graphic presentation. > 6. Built in functions to include: > FFT / fourier analysis, MESA / maximum entropy spectral analysis, > multiple regression, canonical correlation etc etc etc. > I have code for all these mostly in FORTRAN, some QBASIC. > > The applications of the package include: > 1. Analysis of time series data from many branches of science. > 2. Economic / business models including forecasting. > 3. Markets, stocks, commodities forecasting. > 4. Interdisciplinary causal analysis. > 5. Many more > > If you are seriously interested in this, then please contact > me by email at ray(at)tomes(dot)biz which is the email from > which this message was sent without the ".remove" part (anti- > spam measure). > > Ray Tomes > http://ray.tomes.biz/ > http://www.cyclesresearchinstitute.org/ > -- > http://mail.python.org/mailman/listinfo/python-list > -- http://mail.python.org/mailman/listinfo/python-list
