if you're smart enough to learn fortran and learn to impliment and undersatnd numerical methods in it, I would argue that learning python will be an afterthought. You can learn python along with numpy in a week tops if you already understand the theory. I believe a lot of numpy libs are written in fortran code anyway though I could certainly be wrong there.

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esafak 7 hours ago | parent [-]

Why learn Fortran? If you want nice things stop propping up dinosaurs. Let it die already.

Teach them numerical algorithms and have the students contribute to a better language's BLAS, LAPACK, or numerical library like numpy, jax, scipy, etc. Be part of the solution.

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cultofmetatron 6 hours ago | parent | next [-]

fortran is still very much the GOAT when it comes to numerical methods. to the point where all the modern fancy numerical methods libraries still squeeze out performance by calling out to libraries implemented in fortran. Its far from dying. its very good at its niche.

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adgjlsfhk1 6 hours ago | parent [-]

This isn't true. Openblas and MKL are both C/C++ with assembly hardcoded microkernels. SciPy is in the process of removing the last of their Fortran because no one wants to maintain it, and newer methods in other languages are faster. Fortran hasn't been in the core of everything for decades.

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zevets 5 hours ago | parent [-]

For better or worse, Fortran is still a popular language to write clever PDE schemes in, as it maximizes "time to first, fast-enough-running code".

But for anything with a userbase of more than ~15 people, C/C++ are widely preferred.

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adgjlsfhk1 4 hours ago | parent [-]

Julia is starting to pick up steam here. It's a lot easier to write mixed precision algorithms in since the type system is pretty much designed for efficiently writing generic algorithms (and it doesn't hurt that Julia's ODE solvers are SOTA)

	▲	wolvesechoes 2 hours ago \| parent [-]
		> Julia is starting to pick up steam here First time I saw this claim was over 9 years ago.

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dismalaf 6 hours ago | parent | prev [-]

Fortran has modern versions and is much nicer for writing numerical code than C, C++, Rust, etc...