On 12/23/06, Wensui Liu <[EMAIL PROTECTED]> wrote: > if you recommend one, I will really appreciate it if you could point > out a good source for learning as well.
We have found Python to be the perfect choice for our work. Python is a high-level, cross-platform language that is easy to learn/write with an extensive set of libraries. It supports object and procedural programming styles equally well, so one may match the style to the task. If is also an excellent 'glue' language, easily tying together diverse programs in various environments. There is great connectivity with R though rpy and RSpython. Here are links to some of the connectors we use: R http://rpy.sourceforge.net/ http://www.omegahat.org/RSPython/ Database http://sourceforge.net/projects/mysql-python http://www.initd.org/tracker/pysqlite Graphics http://gnuplot-py.sourceforge.net/ Windows--COM, DDE... http://sourceforge.net/projects/pywin32/ The Python tutorial is the place to start: http://docs.python.org/tut/ jab -- 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.
