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

submitted 4 months ago by [email protected] to c/[email protected]

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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?

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[–] [email protected] 1 points 4 months ago

@tschenkel

Mostly its advantage as far as arrays go is its ability to push things out to an accelerator (GPU) without making code changes. Also its JIT functionality is a good bit faster than using pytorch's (at least anecdotally).

My experience with it is not at all related to ODEs (more things like MCMC) and I have no direct experience with its gradient functionality and only limited with its auto vectorization, so take my experience with a grain of salt.

@maegul @astrojuanlu @programming