== Julia promotion strategy == 

 Hi, you don't know me, but I'm a huge Julia fan, something like twice your age, and although I really appreciate your work on its article here, it's doing nothing for your visibility compared to your 0.1 release. 

 Right now, if you want press and exposure, the language to beat with completely undeserved mystique among the masses is R, partly because "big data" (in the old days we called it "statistics") is hot on the venture markets as companies try to figure out how they can optimize and data mine. So you've got to use that. And it's so easy: R is a sitting duck because it has so many decades of legacy, it's one of the most ugly, incomprehensible languages around, at Perl-levels of unreadability but it's hard to write, too.  And dog-slow compared to Julia. 

 So, here's what you do:  Make a series of ten blog posts, about one per week, on a theme e.g. "R versus Julia: Big data speed and comprehensibility shoot out" ("bake off" is a trademark, so go for the gun metaphor, the press eats it up, sadly.) Each post should take less than an hour: take a common statistical operation, show what it looks like in R and Julia code, run it on some god forsakenly large data set, and show the benchmarks in a big simple graph at the end of the post with some bullet holes photoshopped in on the much larger R graph bar. Then submit each post to Y-Combinator Hacker News, Slashdot, Ars Technica, and anywhere else that publishes that sort of thing. 

 If that doesn't get your article page views up 10x or more, your money back. Seriously, please do this. I don't want to live in a 0-based index future, and you're the last best hope to save us from borghood.