Focus should be on the Skills , not on the Tools

If you are into Data Science, the two programming languages that might immediately come to mind are R and Python. However, instead of considering them as two options, more often than not, we end up comparing the two. R and Python, are excellent tools in their own right but are very often conceived as rivals. If you type R vs Python , in your Google search bar, you instantly get a plethora of resources on topics which talk about the supremacy of one over the other.

One of the reasons for such an outlook is because people have divided the Data Science field into camps based on the choice of the programming language they use. There is an R camp and a Python camp and history is a testimony to the fact that camps cannot live in harmony. Members of both the camps fervently believe that their choice of language is superior to the other. So, in a way, divergence doesn’t lie with the tools but with the people using those tools