samuel2's comments

On: Uv is the best thing to happen to the Python ecosystem in a decade

[samuel2]

Reminds me of Julia's Pkg manager and the way Julia packages are managed (also with a .toml file). That's the way to go!

On: Ask HN: Is Operations Research still a thing?

[samuel2]

Cool idea! Thanks for the hint, I would have not thought of that.

On: Ask HN: Is Operations Research still a thing?

[samuel2]

I think cross-specializing with physics of energy might be quite cool. Then I could work on problems such as, e.g.,

- optimizing the placement of wind turbines to maximize energy capture

- determining the optimal size and type of solar panels for a given area.

[EricMausler → samuel2]

Absolutely, I can see how that could be effective. The jobs may lean toward electrical experience. Power engineering is a subfield of electrical and may be relevant. I looked into it once for myself, seemed like a good fit.

Another field of tools that I'm looking at are the Geospatial ones. Being able to work with mapping software/data always felt like a good mix to me.

What tools are they teaching now? I studied on like AMPL for linear/nonlin prog, ARENA for sims, Matlab for general but it's been a while.

[samuel2 → EricMausler]

yes, geospatial could be interesting. The tools depend on what the university / lecturer prefers, for me it was Julia for programming in math courses, JuMP.jl for optimization modeling, Python for ML courses.

On: Ask HN: Is Operations Research still a thing?

[samuel2]

Thanks for the comment!

On: Ask HN: Getting into Energy Industry with Math Background

[samuel2]

thanks

On: Ask HN: Math books that made you significantly better at math?

[samuel2]

Probably the most elegant math book I have ever seen is Probabilty theory a graduate course by Achim Klenke. A very nice exposition into the abstract, measure theoretic prob. thoery (but it assumes some prior knowledge).

On: Ask HN: Math books that made you significantly better at math?

[samuel2]

If you are into numerical optimization, a nice source of intersting problems and examples (that e.g. contradict the intuition) can be found in

Mathematical Tapas: Volume 1 and Vol. 2.

On: Ask HN: Getting into AI?

[samuel2]

Intersting comment, but I think there might be fluctuations around a growing overall demand.

On: Using Rust at a startup: A cautionary tale

[samuel2]

Would Rust be worth learning for implementing (numerical) optimization algorithms?

On: The First Rule of Machine Learning: Start Without Machine Learning

[samuel2]

well said, thx for your comment