> I would actually argue that most of the Python data science toolchain is years behind what is available in R.
I do not want to litigate this on HN, but the problem with R is the toolchain around your data science work.
You've fit a model in R, and that's great! Now how do you get it into a real-time system? Or how do you test the software you wrote to train the model?
I do not want to litigate this on HN, but the problem with R is the toolchain around your data science work.
You've fit a model in R, and that's great! Now how do you get it into a real-time system? Or how do you test the software you wrote to train the model?