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?
@mvirts
Problem with that logic is that python was essentially “reborn” at some point 2010-2012.
That’s when scipy, pandas and notebooks all came together, and with early pandas putting python on the map more than some (cough - Guido - cough) are willing to admit.
Of course the maturity of the ecosystem by then is part of it … but also pushing through the python 3 situation wasn’t trivial and likely speaks to the momentum the science stack brought to the ecosystem.