In Defense of Matlab Code

Re:In Defense of Matlab Code by jakobnissen on Tuesday December 16, 2025 @02:30AM (#46285759)

Yes, Python code is indeed fast if you write it in C++... what a bizarre argument. The whole selling point of Julia is that I can BOTH have a dynamic language with a REPL, where I can redefine methods etc, AND that it runs so fast there is no need to go to another language.

It's wild what people get used to. Rustaceans adapt to excruciating compile times and borrowchecker nonsense, and apparently Pythonistas think it's a great argument in favor of Python that all performance sensitive Python libraries must be rewritten in another language.

In fairness, we Julians have to adapt to a script having a 10 second JIT latency before even starting...

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Re:In Defense of Matlab Code by wolvesechoes on Tuesday December 16, 2025 @03:50AM (#46286258)

> Pythonistas think it's a great argument in favor of Python that all performance sensitive Python libraries must be rewritten in another language.

It is, because usually someone already did it for them.

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Re:In Defense of Matlab Code by jakobnissen on Friday December 19, 2025 @09:31AM (#46326257)

That's fair - if you work in a domain where you can solve your problems by calling into existing C libraries from Python, then Python's speed is indeed fine.

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