[Rd] Julia

[Jeffrey Ryan]

Doug,

Agreed on the interesting point - looks like it has some real promise.
 I think the spike in interest could be attributable to Mike
Loukides's tweet on Feb 20. (editor at O'Reilly)

https://twitter.com/#!/mikeloukides/status/171773229407551488

That is exactly the moment I stumbled upon it.

Jeff

On Thu, Mar 1, 2012 at 11:06 AM, Douglas Bates <bates at stat.wisc.edu> wrote:
> My purpose in mentioning the Julia language (julialang.org) here is
> not to start a flame war.  I find it to be a very interesting
> development and others who read this list may want to read about it
> too.
>
> It is still very much early days for this language - about the same
> stage as R was in 1995 or 1996 when only a few people knew about it -
> but Julia holds much potential.  There is a thread about "R and
> statistical programming" on groups.google.com/group/julia-dev.  As
> always happens, there is a certain amount of grumbling of the "R IS
> SOOOO SLOOOOW" flavor but there is also some good discussion regarding
> features of R (well, S actually) that are central to the language.
> (Disclaimer: I am one of the participants discussing the importance of
> data frames and formulas in R.)
>
> If you want to know why Julia has attracted a lot of interest very
> recently (like in the last 10 days), as a language it uses multiple
> dispatch (like S4 methods) with methods being compiled on the fly
> using the LLVM (http://llvm.org) infrastructure.  In some ways it
> achieves the Holy Grail of languages like R, Matlab, NumPy, ... in
> that it combines the speed of compiled languages with the flexibility
> of the high-level interpreted language.
>
> One of the developers, Jeff Bezanson, gave a seminar about the design
> of the language at Stanford yesterday, and the video is archived at
> http://www.stanford.edu/class/ee380/.  You don't see John Chambers on
> camera but I am reasonably certain that a couple of the questions and
> comments came from him.
>
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-- 
Jeffrey Ryan
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