Data science languages score highly in RedMonk rankings

March 27, 2017
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(This article was first published on Revolutions, and kindly contributed to R-bloggers)

Redmonk have once again updated (a little later than usual) their bi-annual programming language report with their January 2017 rankings. If you haven't come across these rankings before, they are based on GitHub contributions and StackOverflow questions related to around 40 commonly-used programming languages. The raw data (as of January 2017) is shown below — as you might guess from the appearance of the chart, the analysis for the rankings is done in R.

Redmonk Jan 2017

Languages used by data scientists rank highly in this metric. Python is ranked #3 (up from #4 in the June 2016 rankings). R is ranked #14, down from its all-time high rank of #12 in June 2016. Redmonk's Stephen O'Grady attributes this dip to a change in the process of collecting the GitHub data and notes that R "remains popular in spite of a step back".

Other notable moves in the rankings are Swift, jumping from #26 to #16 in the rankings; Go (moving to #11 from #15); and Powershell (jumping to #19 from #36). For more the complete rankings and associated analysis, check out the RedMonk post linked below.

RedMonk (Tecosystems): The RedMonk Programming Language Rankings: January 2017

 

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