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Julia and JuliaHub: Advancing Innovation and Growth

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Re: Julia and JuliaHub: Advancing Innovation and Growth

#71
post #70
post #66

Earlier quoted context omitted.

> whiffed a few major decisions early on Anything particular in mind?

In general, I’d say there’s too much superficial flexibility but not enough control. - I wrote this elsewhere: I find their approach to memory management/mutable arrays really hits the worst of both worlds (manual memory management and garbage collection). You end up trying to preallocate memory but don’t actually have control over memory allocations. I find the dynamic type system exacerbates this. - It’s a very big…

Static compilation is already available in a commercial product: https://discourse.julialang.org/t/syslabcc-suzhou-tongyuans-... . https://github.com/Suzhou-Tongyuan/syslab-deploy .

EDIT: or 2 products: https://news.ycombinator.com/item?id=42962548

Re: Julia and JuliaHub: Advancing Innovation and Growth

#72
post #24

I like the language but I can't help but feel it missed the train and that the ergonomics improvements it offers are too small to switch over from Python.

It does feel like julia will not make the leap to displace python, but for a long time python offered too few improvements over perl, so its not completely out of the question.

Yeah, at some point I was hoping it would. But after attending a day of JuliaCon last year: Julia is nowhere close to replacing Python, but it might put MATLAB in the ground.

It looks like Julia has found a few niches though: HPC and numerical modelling among them.

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