The #Julia Language
►http://julialang.org
Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
Why We Created Julia
►http://julialang.org/blog/2012/02/why-we-created-julia
We want a language that’s open source, with a liberal license. We want the speed of C with the dynamism of Ruby. We want a language that’s homoiconic, with true macros like Lisp, but with obvious, familiar mathematical notation like #Matlab. We want something as usable for general programming as Python, as easy for statistics as #R, as natural for string processing as Perl, as powerful for linear algebra as Matlab, as good at gluing programs together as the shell. Something that is dirt simple to learn, yet keeps the most serious hackers happy. We want it interactive and we want it compiled.
(Did we mention it should be as fast as C?)
Un langage orienté vers le calcul scientifique, avec des performances apparemment plutôt impressionantes.
Une entrée de blog qui présente le langage :
►http://www.johnmyleswhite.com/notebook/2012/03/31/julia-i-love-you