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A comment on A new release for GNU Octave. Parent comment

Re:A new release for GNU Octave by eigenspace on Thursday December 17, 2020 @02:25PM (#25459297)
It can really depend. It’s certainly possible to write code in Julia that is slower than corresponding Matlab or Python code.

Generally, naive Julia code shouldn’t be any slower than Matlab or Python, but it can happen. The Julia Discourse forum has many posts from people surprised to find their code running slower in Julia, but the community is also incredibly helpful so these posts almost always result in some rather simple modifications to the code that makes it handily outperform Matlab or Python implementations.

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Re:A new release for GNU Octave by fluidcruft on Friday December 18, 2020 @10:52AM (#25468219)
That's good to hear. I can usually get things to work well in matlab/octave, but it takes a lot of time thinking about how to restructure a calculation as vectorized. What I'm hearing is that with Julia I can probably just write what I mean directly and skip the pondering/iterating about how to vectorize. So I think I'll try it. Thanks!
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