Erik Engheim
1 min readJul 25, 2022

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If if works for you that is what matters. But you might want to check out Julia if you do numerical work and plotting. Julia can do plotting just as nicely as Python and is great for numerical computing. It looks a bit similar to Octave in syntax. But here is the kicker: Julia is way faster than Python and Octave. In fact you can likely outperform your C++ code with Julia. It is that crazy fast.

It is not without reason that I write a lot about Julia. I believe it is the future of computing. Huge project which require maximum performance such as the next generation climate model is being built in Julia. But astronomy projects also get built in Julia. Julia is the only dynamic language being run on super computers today.

Of course Julia is not a drop-in replacement for C++ like Carbon. Julia can interfere we’ll with C, Fortran, Python and R but C++ is always tricky. So I get that Carbon has some merit.

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Erik Engheim
Erik Engheim

Written by Erik Engheim

Geek dad, living in Oslo, Norway with passion for UX, Julia programming, science, teaching, reading and writing.

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