That number seems to be from 2013. I imagine it would be much higher today - 10 years ago dynamic typing was at the peak of its hype cycle, and right now it seems to be in the Trough of Disillusionment.
Speaking as a scientist, I'd love to see a round 2 of this work to see how much things are the same vs different. The premise for the work was doing more serious sociological methods could help understand tough phenomena here & suggest new solutions, so bringing in longitudinal analyses would be fascinating.
FWIW, if I remember right:
- Languages like Java, C++, .NET were the most popular. Maybe iOS/Android apps too?
- Buzz around then were Scala + Java (big data), Haskell, Elm, D, and the beginnings of Rust.
- TypeScript was already a year or two in as well. But population-wise, probably still niche.
- That was probably also some of the heaviest Node
Nowadays, we also see heavy rises in dynamic languages:
- Professional data scientists using Python & R. I think Python has become the #1 language for new folks?
- Go looks like a statically typed language... until you compare it to modern C++, D, Rust, etc
So I wouldn't be surprised to see a shift.. but then again, not at all obvious how much, and especially controlling for selection bias..
That number seems to be from 2013. I imagine it would be much higher today - 10 years ago dynamic typing was at the peak of its hype cycle, and right now it seems to be in the Trough of Disillusionment.