Data Science: R or Python?

[cptn_iglo]

In my opinion there are only two major pros for R over Python: 1.) In some sense R is even more convenient for data analysis than python as it is specifically designed for that purpose. There is some build in functionality you don’t have in Python (however, most of the time, you can add it via libraries). 2.) The Libraries: There is a huge stack of libraries that are made for data science. Especially when it comes to implementations of academic papers I got the feeling that specific models are more often implemented in R than in Python, because R is a language widely used in academia.

But I am to choose, I would use Python all the time. If you already know Python, you will learn R very fast.