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Theoretical engineer (aerospace and biomedical), associate professor of continuum mechanics, ex-petrolhead turned eco-warrior (worrier?), FOSS advocate, non-competitive cyclist, general outdoor enthusiast, renaissance man, beginner lutenist.
he/him
born@326ppm
All posts auto-delete after a while to reduce CO2 footprint.
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@astrojuanlu @maegul @programming
I think there’s two ways to think about the two-language problem (from my scientists view):
from the developer side, when the target is a product/library it may indeed be better to develop in a typed, compiled labguage, and just have a wrapper in Python, or another high-level language that the users/scientists use.
from the user/scientists side: start developing in Matlab/Python, build the proof of concept and demonstrate that the method works. But for the real case application, more performance is needed. So one needs to find a Rust/C++/Fortran developer to join the project. No funds for that, so code never gets developed.
Julia solves the second kind nicely. If I had to rewrite everything in Rust/C(++)/Fortran, the last few years’ research would not have happened.
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