Although it focuses on the growth of Python, you'll notice that R is growing quickly as well.Īs for the emergence of machine learning libraries, we're working hard at RStudio to make sure that R also has a first-class interface, with e.g. If you're interested in a bit of analysis on this topic, you might enjoy this blog post.

I don't think the R camp has been getting smaller, but I do think the Python camp has been getting relatively larger as you have a lot of practitioners with training in software engineering that have been drifting towards data science, and that implies using the tools available in the software ecosystem those users are most familiar with (ie, Python). The computer science side, where Python is most commonly used as the interface to machine learning libraries. The statistics side, where R is most commonly used (alongside other languages like SAS, SPSS, Stata, and others) I don't think Python is replacing R, per se - rather, I see it more as two camps from which data science is emerging:

Python ide like rstudio