I just became a Data Scientist this year and it enables me to dive into different datasets, graphs, and algorithms. Been using somewhat three of the "language"

I just became a Data Scientist this year and it enables me to dive into different datasets, graphs, and algorithms. Been using somewhat three of the "language" mentioned. I'm new to R and just been creating simple plot graphs. I'm liking how it illustrates my data from the csv file. I never tried matplotlib but my colleagues prefer it instead of R. Python is my go to language for fast scripting and programming. I also like how easy a REST API can be done in Python using Flask. On the other hand, I don't use Clojure and Julia. I think I heard Julia before but not really familiar with it. For Clojure, I prefer Scala. Not because of performance or anything, it's just the language that I learned first. I think they have the same purpose as presented in the article. Just like Clojure, the "JVM goodness" is also present in Scala. I like that it can use Apache stuff like OpenNLP, IO, etc. Been combining Python, Scala, and R in my work. Python for REST API, Scala for the algorithm or heavy computing, and R for the visualization of data.