On 2/27/07, Wensui Liu <[EMAIL PROTECTED]> wrote: > Thank you all for your wonderful suggestion and advice. > > Have a great evening! > > wensui > > On 27 Feb 2007 12:08:46 -0800, RickMuller <[EMAIL PROTECTED]> wrote: > > On Feb 27, 12:08 pm, "Sriram" <[EMAIL PROTECTED]> wrote: > > > Hi, > > > > > > If you have experience programming, just read the online tutorial > > > athttp://docs.python.org/tut/tut.html > > > > > > > Seconded. It really is a wonderful introduction to Python. Once you've > > digested that, the Python Library Reference in the docs is your best > > friend. The nice thing about getting familiar with the official python > > documentation is that it's always available to you. > > > > -- > > http://mail.python.org/mailman/listinfo/python-list > > >
WenSui, from the R list I think you are not a novice programmer. I'd recommend Python in a Nutshell. Note there is a recent edition that covers Python 2.5. (I actually use almost exclusively Nuthsell --- and the pocket reference which is small and inexpensive and i carry on my backpack all the time). Best, R. > > -- > WenSui Liu > A lousy statistician who happens to know a little programming > (http://spaces.msn.com/statcompute/blog) > -- > http://mail.python.org/mailman/listinfo/python-list > -- Ramon Diaz-Uriarte Statistical Computing Team Structural Biology and Biocomputing Programme Spanish National Cancer Centre (CNIO) http://ligarto.org/rdiaz -- http://mail.python.org/mailman/listinfo/python-list
