Achei interessante repassar para conhecimento. (Douglas Bates, na Rd) From: bates@stat.wisc.edu Douglas Bates To: r-devel@r-project.org R-devel Date: Thu, 1 Mar 2012 14:06:51 -0300 Subject: [Rd] Julia 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. --- Fernando Mayer Universidade Federal de Santa Catarina - UFSC Departamento de Ecologia e Zoologia - ECZ/CCB URL: http://sites.google.com/site/fernandomayer e-mail: fernandomayer [@] gmail.com