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

submitted 3 months 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 3 months ago (7 children)

@tschenkel @astrojuanlu @programming

I'd suppose part of the problem might be that there's a somewhat hidden 3rd category of user that "feels" whatever added complexity there is in a two-language lang like julialang and has no real need for performant "product" code.

And that lack of adoption amongst this cohort and your first enforces lang separation.

I may be off base with whether there's a usability trade off, but I'd bet there's at least the perception of one.

[–] hrefna@hachyderm.io 3 points 3 months ago (3 children)

@maegul

Considering, it may be worth highlighting that tools like Jax exist as well (https://github.com/google/jax). These have even become an expected integration in some toolkits (e.g., numpyro)

It may not be the most elegant approach, but there's a lot of power in something that "mostly just works and then we can optimize narrowly once we find a problem"

It doesn't make a solution that solves this mess bad, but I do wonder about it being a narrow niche

@tschenkel @astrojuanlu @programming

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