Comment

Comment by Jane Roughan on January 2, 2017 at 11:53pm

For me, I tend to use R + Python + D3 and Javascript for visualisations and SQL for quick analysis of operational data.

When I want to perform a quick analysis of files, I tend to use R. Previously for visualizations I have used D3 and Python as preferred, but have noticed an increase in vis packages for R of late.

When I want to multi-thread running of complex, time-consuming algorithms, I prefer Python with Spark.

But I am relatively new comer to data science in the last 1 and 1/2 years.

Comment by Vincent Granville on December 28, 2016 at 11:35pm

Even more interesting, what are the most popular language combinations? For data scientists, R + Python + SQL is probably one of the most popular. Usually though, multi-lingual programmers master and use one programming language more so than the other ones (in my case, Perl over R, SQL, SAS, Javascript, C, Shell command language and LaTeX -- even though my "native" language was C; and I use R for dataviz only not for machine learning as I have developed my own simple, scalable algorithms over time for pretty much any statistical procedure such as regression or clustering)

Comment by Vincent Granville on December 28, 2016 at 11:06pm

It would be interesting to compare this language ranking table with the one published here (displayed below). The one below does not include R, possibly because it does not consider R (or SQL or SAS or Matlab for that matter) as a programming language. Of course the methodologies to produce the two tables are very different.