On 12/30/06, Wensui Liu <[EMAIL PROTECTED]> wrote: > Dear Experts, > > Thank you so much for your opinions. I probably will go with python. > > Following your suggestion, I started reading some tutorials but have a > quick question. In the sense of statistical computing, is there > anything that can be easily done with python but not with SAS/R? Could > you please give such an example?
I gather that just about anything can be done in R and have seen some pretty amazing examples, but I come from "the right tool for the job" school as contrasted to the "when you have a hammer everything begins to look like a nail" school. As a consequence I tend to use R for statistics, SQL for database management, gnuplot for graphics and Python for general programming and glue... A lot of that has to do with the order in which I learned the tools, for example I am much faster/more productive with gnuplot than with R graphics, but that gap is narrowing as I climb R's grade. jab--not an expert, just a traveller -- John Bollinger, CFA, CMT www.BollingerBands.com If you advance far enough, you arrive at the beginning. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.