359 karma · joined May 27, 2017
Engines are easier compared to the assets. You only need programmers writing code (hard but easier than finding teams to work on assets)
[1]: https://sourceforge.net/p/keepass/discussion/329220/thread/0...
I believe Scipyconf 2016 had a talk on numba where he goes into it in great detail. Just search it up on Youtube.
Anything that is not convenient to be written as numpy arrays can be written using numba. Also it works with pure python code so your prototype can be used at scale with nothing but a decorator.
Also the autocorrect really throws my search terms off while Google does is right most of the time.
The article is not narrow minded but has a narrow focus and only analyses concrete data from a single source. It may be globally accurate but indicates a rising trend in people being interested in python. While Python usage cannot be directly correlatd to SO, we can infer that languages that have more questions have more people using or learning it generally. In the same way languages with a small community of users don't always prefer SO but something more personal like Mailing lists or IRC (eg. J language).
It should be safe to conclude that due to Data Science being the new buzz word and python at the forefront of it all, atleast python is getting a lot of attention even if it doesn't translate directly to more users right away.
P.S FF is now not a crappier version of Chrome but Chrome is crappier if you don't have powerful hardware or RAM (mine's hardly 2 GB and everything sucks a lot though its only 4 years old)