[Lyngbakr]

I was a bit disappointed to discover that this was essentially an R vs. Python article, which is a data science trope. I've been in the field for 20+ years now and while I used to be firmly on team R, I now think that we don't really have a good language for data science. I had high hopes for Julia and even Clojure's data landscape looks interesting, but given the momentum of Python I don't see how it could be usurped at this point.

[vkazanov]

It is EVERYWHERE. I recently had to interview a bunch of data scientists, and only one of them knew SQL. Surely, all of then worked with python. I bet none of them even heard of R.

[garciasn]

SAS > R > Python.

The focus of SAS and R were primarily limited to data science-related fields; however, Python is a far more generic programming language, thus the number of folks exposed to it is wider and thus the hiring pool of those who come in exposed to Python is FAR LARGER than SAS/R ever were, even when SAS was actively taught/utilized in undergraduate/graduate programs.

As a hiring leader in the Data Science and Engineering space, I have extensive experience with all of these + SQL, among others. Hiring has become much easier to go cross-field/post-secondary experience and find capable folks who can hit the ground running.

[Lyngbakr]

Yikes. Were they experienced data scientists or straight out of school? I find it very odd (and a bit scary) that they didn't know SQL.

[SiempreViernes]

What would it even mean to be a "good language for data science"?

In the first place data science is more a label someone put on bag full of cats, rather than a vast field covered by similarly sized boxes.

[username135]

SAS has entered the chat