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An anonymous reader writes
"A Brown University project collected the background information of over 2,000 computer science professors in 51 top universities. The data shows a skew in their doctoral degrees, "Over 20% of professors received their Ph.D. from MIT or Berkeley, while more than half of professors received their Ph.D. from the [top] 10 universities." For those professors, fewer work in theoretical computer science and there is a growing trend of recent hires in systems and applications. The original data is also publicly-editable and available to download."
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theodp (442580) writes
"'R beats Python!' screams the headline at Prof. Norm Matloff's Mad (Data) Scientist blog. 'R beats Julia! Anyone else wanna challenge R?' Not that he has anything against Python, Matloff adds, but he just doesn't believe that Python or Julia will become 'the new R' anytime soon, or ever. Why? 'R is written by statisticians, for statisticians,' explains Matloff. 'It matters. An Argentinian chef, say, who wants to make Japanese sushi may get all the ingredients right, but likely it just won't work out quite the same. Similarly, a Pythonista could certainly cook up some code for some statistical procedure by reading a statistics book, but it wouldn't be quite same. It would likely be missing some things of interest to the practicing statistician. And R is Statistically Correct.'"
