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Did #julialang end up kinda stalling or at least plateau-ing lower than hoped? (hachyderm.io)

submitted 1 month ago by maegul@hachyderm.io to c/programming@programming.dev

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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?

@programming

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[–] maegul@hachyderm.io 2 points 1 month ago

@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.