The first real library I had to learn to use was GSL. The first framework I ever learned to use was ROOT. I also had to learn how to use FFTW and all sorts of o

The first real library I had to learn to use was GSL. The first framework I ever learned to use was ROOT. I also had to learn how to use FFTW and all sorts of other math libraries. I've had to hack fortran a bit, but mostly just know how to read it and compile it with g77 and stuff because that's what my professors would program in. In my only real course in programming at a university I learned how to link C to fortran libraries. I used Maple way more than matlab, and all of this was the majority of my programming training before I graduated from college. If there is a divide between fortran and LISP hackers, I'd have to say that Python is going to be the adopted parent/mentor, and it's the only programming language truly situated to bring them together. This is why projects like PyPy get me excited. Other projects like Julia are really interesting as well. I have to agree with the premise of the article though. There is a divide between mathematical hackers and non-mathematical hackers. I don't think it's anti-intellectualism per se, it's possibly more of a result of the increasing stratification of backgrounds in an industry which has increasingly focused on products, services, and most importantly consumers and "social". I went to a talk yesterday by an veteran applied mathematician who does research at HP labs. He mentioned something that really resonated with this notion: The days of academic style research, of Bell Labs and the like, has disappeared. This isn't to say that research and math has disappeared from the industries, but as a researcher you have to justify the research by explaining how it can contribute to a bottom line for the company. There's a few companies with looser restrictions on this (Microsoft, Google), but typically this kind of research is best done at companies that are monopolies with high profit margins. In that case, a company like Apple would be best situated to conduct research on the level of the Bell Labs of the past, but it's evident that they don't. The mathematical hacker started falling out of vogue sometime in the 70s. If the mathematical hacker ever becomes vogue again, it won't be because of Apple. It will be because of big data, autonomous cars, medicine and bioinformatics.