I was looking through Reddit the other day and came across an interesting post in r/Groovy. The group itself has been relatively dead for a while but sprang to life with a question about using Groovy for Data Science. Granted, Python IS eating the world right now for Data Science with R right behind it and Java still hanging out with all the Big Data stuff.
I've always liked Groovy because it's very Python-like (high level-ish) but compiles down to byte-code during runtime. It's multithreaded and concurrent. I know that Python attempts to do this and there are many hackish ways to make it as fast as C, but you have to know how to do it. A high-performance python is an art form beyond the Data Science world IMHO.
The Reddit post had a link to a set of slides from Dr. Paul King of Object Computing Inc. I did some sleuthing and came across an hour-long presentation and I think it's fantastic.