Very interesting study published by KDNuggets. Here are the highlights:
The most popular languages continue to be R (used by 61% of KDnuggets readers), Python (39%), and SQL (37%). SAS is stable at around 20%. The highest growth was for Pig/Hive/Hadoop-based languages, R, and SQL, while Perl, C/C++, and Unix tools declined. We also find a small affinity between R and Python users.
Previous KDnuggets polls looked at high-level Analytics and Data mining software, but sometimes a full-power programming language is needed. That was the focus of the latest KDnuggets Poll, which asked:
What programming/statistics languages you used for an analytics / d...
Based on a very high response of over 700 voters, the most popular languages continue to be R (now used by 61% of responders), Python (39%), and SQL (37%). On average, there were 2.3 languages used.
For trends, we compared the 2013 results with similar
The language with the highest relative growth (2013 vs 2012) was Julia, which doubled in popularity, but still was used only by 0.7% in 2013.
Among more common languages, the largest relative increases in share of usage from 2012 to 2013 were for
The languages with the largest decline is share of usage were
Is there an affinity between R and Python? Yes, people who use R are about 13% more likely to use Python than overall population.
Comment
We should run our own poll. Phillip, you are right, it represents KDNuggets users, which might different from DSC visitors.
Despite the decline above, the following one could be useful in some cases.
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