Why scientists are turning to Rust

Re:Why scientists are turning to Rust by stolen_biscuit on Tuesday December 01, 2020 @06:25PM (#25271420)

I can't help but feel that given the requirements laid out in the article Nim would be a more suitable fit for their goals over Rust. I do think Nim really nails great performance with a very clean and straightforward syntax, certainly easier for someone who only works in Python to pick up over Rust.

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Re:Why scientists are turning to Rust by chairmanwow1 on Tuesday December 01, 2020 @06:29PM (#25271452)

Nim would be a nice option if the ecosystem were even half as developed as the Rust package ecosystem.

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Re:Why scientists are turning to Rust by planetis on Friday December 04, 2020 @02:37PM (#25306690)

Nim has plotting, dataframe, matrix libs and even a fully featured machine learning library, I don't see the reason why it can't be used, especially by scientists.

https://github.com/Vindaar/ggplotnim https://github.com/unicredit/neo https://github.com/mratsim/Arraymancer

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Re:Why scientists are turning to Rust by stolen_biscuit on Tuesday December 01, 2020 @09:40PM (#25272692)

Kind of a chicken and egg scenario there really. A few early adopters will need to branch out and start using it to get that momentum building, which is probably a great opportunity for scientists who are looking for an alternative

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Re:Why scientists are turning to Rust by chairmanwow1 on Tuesday December 01, 2020 @10:38PM (#25272994)

I think this is exactly the point I was making. There isn’t a real reason to use Nim, so no one but language enthusiasts will.

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Re:Why scientists are turning to Rust by planetis on Friday December 04, 2020 @05:08PM (#25308850)

Reason for using Nim is its simplicity, anyone writing Python can switch to Nim, fast compile times and it's speed which is on par with C/C++

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