Comment by StefanKarpinski

Even inside of scientific computing, the picture is quite a bit more nuanced. This post is basically about a the author's personal migration to Python as a user of other people's scientific programming packages. In doing interviews with people inside of companies, there's fairly little actual use of Python for scientific computing – lots of Python for data preparation, but R and Matlab (not to mention Simulink) still dominate for the actual scientific part. And of course, there's the bizarre blind spot that the SciPy community has to the fact that they are really doing scientific computing in C – literally every single package you use that's scalable and performant is actually written in C. This is true of R and Matlab too, of course.