I think I have to switch from using Julia to Python/Numpy. I know. I’m going the wrong way! Still, it’s become increasing apparent it’s the right thing to do. I know Julia much better than Python/Numpy, but Julia isn’t supported by or is a huge PITA to get working in the tools we use at work. A…

[image] lmiq: More generally, probably you could explain better what you mean by “moving to”. You want to translate all your Julia code to Numpy? Or just learn numpy given a Julia experience? “Moving to” means, having Julia knowledge/code and probably a REPL open while prototyping but moving …

[image] Satvik: lean heavily on vectorization This seems to be the biggest difference between the numpy way of doing things and the Julia way. Although more recent Julia code is much more vectorized and closer to numpy in this way.

[image] Orbots: Eventually not using Julia at all, and just writing python/numpy. Translation should not be particularly difficult in general. It will be harder, depending on the code, to retain the performance, if the code is not easily vectorized. Perhaps you will finally have to learn some…

@Orbots I don’t know if you’re still open to being convinced, but either way it would be helpful for us to know what is missing for you in Julia if you’re willing to talk about it.

[image] lmiq: Perhaps you will finally have to learn some C, C++ You are assuming I don’t already? Strange. [image] lmiq: write that same front-end in Julia I already stated I can’t use Julia! That’s the whole point of this post. I’d like to use julia, but it’s unreasonably difficu…

Btw there is a recent package announcement [image] [ANN] Announcing NumPyArrays.jl Package Announcements Synposis I am pleased to announce NumPyArrays.jl at version v0.1.1. Initial registration is in the general registry is in process. This package facilitate…

[image] Orbots: You are assuming I don’t already? Strange. I was not assuming anything, it was just a remark about something to be considered in the migration process. Sorry if that felt differently in any way.

The nice thing about Julia is that it’s roughly equally fast whether you use vectorized or non-vectorized code. So if you’re porting Julia code to Python, one good option is to go through, find any for loops, and rewrite them using vectorization/broadcasting instead. Then you can almost copy & paste…

[image] jzr: what is missing for you in Julia Fixes for these would be a start: embedding julia in .so assert: jl_TargetMachine opened 11:36PM - 17 Jul 19 UTC (UTC) closed 11:53PM - 24 Aug 21 UTC (UTC) …

@orbots , have you asked here ?

Tips for moving from Julia to Numpy/Python?

General Usage

jzr July 15, 2021, 5:34pm 14

Btw there is a recent package announcement

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Tips for moving from Julia to Numpy/Python?

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