On Tue, 2014-08-19 at 00:53 +0000, bachmeier via Digitalmars-d-learn wrote: […] > I'm not sure which computational work he is referring to, but for > statistical analysis, R dominates by a wide margin (although > statistical analysis done in Silicon Valley, the type you read > about on Hacker News, is often done using Python).
My own :-) I think Python is not making inroads in the world-wide R community, but it is in the Matlab and Mathematica ones. Whether Julia acts as a disruptive technology here we will see. > I write functions in D, compile as a shared library, and call > from R. The more statically typed code I write, the more I like > it. I'm finishing up a blog post describing my usage. This model also works for Python and D and does not require PyD (*). The issue here is that D, like C++, can provide shared objects (aka DLLs) with C linkage entry points and so Python extensions can be created. (*) Though arguably it is easier using PyD. -- Russel. ============================================================================= Dr Russel Winder t: +44 20 7585 2200 voip: sip:russel.win...@ekiga.net 41 Buckmaster Road m: +44 7770 465 077 xmpp: rus...@winder.org.uk London SW11 1EN, UK w: www.russel.org.uk skype: russel_winder
