In the post it says "next to R", so I don't really see a contradition here. Both have their pros and cons. I think any data scientist should know how to use bot

In the post it says "next to R", so I don't really see a contradition here. Both have their pros and cons. I think any data scientist should know how to use both. R: - has more ml libraries. - is more mature than panadas (look at how pandas handles categorial data). Python: - has more general purpose libraries (e.g. language detection, html boilerplate extraction, query apis) - can handle out of core learning (datasets, which don't fit into memory) - can run in production. - is language of choice for deep learning