Why write this article without explaining what you measure and how? This is just astounding.
"X is the top language"
"What does top mean to you? How did you measure it?"
"Eh."
Worse than useless.
"X is the top language"
"What does top mean to you? How did you measure it?"
"Eh."
Worse than useless.
The "is here" has no link going anywhere.
> we look at nine metrics that we think are good proxies for measuring what languages people are programming in. Sources include Github, Google, Stack Overflow, Twitter and IEEE Xplore. The raw data is normalized and weighted according to the different rankings offered—for example, the Spectrum default ranking is heavily weighted towards the interests of IEEE members, while Trending puts more weight on forums and social media metrics
So they looked at sources, calculated metrics, and then weighed them by rankings? Still no idea what they've actually done.