[sk1pper]

> Julia is very specifically a general purpose programming language

I’ve been trying to figure this out recently - because I love Julia’s features. Readable like Python, but with more ability to optimize performance, and also lispy with macros and generic functions. I’m personally interested in it as a general purpose language.

But when I search around about it, most folks to seem to relegate it to the data science realm only. Everyone seems to be saying: well it’s certainly general purpose capable, but its designers are focused on data science, and that will continue to be the primary goal. As such, don’t expect to see it widely adopted as outside of data science anytime soon.

I don’t want that to be the case, but it seems harder to build broader excitement about the language if it’s going to continue to be perceived as niche.

[krastanov]

Bringing up data science as its niche is somewhat funny, because the most mature libraries in the language (where it is light years ahead of other ecosystems) are in the general sciences (e.g. differential equations, math optimization, etc). It is true that the Julia ecosystem as a whole is mature only in a few niches, but focusing specifically on narrow data science claims would make me doubt the knowledge of the person making that claim.