Every year IEEE does an analysis of the top 10 programming languages. I always find this an interesting measure of what’s important. Like this year’s big mover is R. Clearly that is pointing to a rising need for analytics in a world of Big Data.
I took a Coursera class on R earlier this year so that made me feel I was at least trying to be relevant.
They do use an interesting approach to making their assessment like:
- Mentions in the IEEE Xplore digital library
- Projects that use the language in GitHub
- Jobs mentioning the language on CareerBuilder
The top 5 languages stayed in the same ranking, which in some ways isn’t surprising in a business where COBOL still reigns for certain industries and areas. On the other hand, people in the industry are always complaining about how fast new technology is developing and the troubles in keeping up.
It is a bit of a paradox.