Did #julialang end up kinda stalling or at least plateau-ing lower than hoped?
I know it’s got its community and dedicated users and has continued development.
But without being in that space, and speculating now at a distance, it seems it might be an interesting case study in a tech/lang that just didn’t have landing spot it could arrive at in time as the tech-world & “data science” reshuffled while julia tried to grow … ?
Can a language ever solve a “two language” problem?
@maegul @programming Perhaps this is all kind of like evolution: something that evolves to be sufficient doesn’t necessarily need to further evolve to some pinnacle (however that may be defined it its context). R and Python are imperfect in so many ways, but sadly it gets the job done for most folks. I think people who explore Julia are simply not content for one reason or the other with R and Python (perhaps also Matlab), but they likely have gotten a lot of work done with R & Python.