

Interesting, but misguided, I think.
If you’ve selected Python as your programming language, then your problem is likely either to do some text processing, a server-side lambda, or to provide a quick user interface. If you’re using it for eg. Numpy, then you’re really using Python to load and format some data before handing it to a dedicated maths library for evaluation.
If you’ve selected Go as your programming language, then your problem is likely to be either networking related - perhaps to provide a microservice that mediates between network and database - or orchestration of some kind. Kubernetes is the famous one, but a lot of system configuration tools use it to manipulate a variety of other services.
What these uses have in common is that they’re usually disk- or network- limited and spend most of their time waiting, so it doesn’t matter so much if they’re not super efficient. If you are planning to peg the CPU at 100% for hours on end, you wouldn’t choose them - you’d reach for C / C++ / Rust. Although Swift does remarkably well, too.
Seeing how quickly you can solve Fannkuch-Redux using Python is a bit like seeing how quickly you can drive nails into a wall using a screwdriver. Interesting in its way, but you’d be better picking up the correct tool in the first place.








If you’re just wanting to play it, you don’t really need the models, do you? Couple of packets of the cheapest army men you can find in the toy shop will do it you want fancy pieces, but just folding a piece of card in half so that it stands upright and writing on it what it is will suffice.
3D printing would do very nicely for the one-off models that you don’t want to kitbash, of course. Also great for playing DnD with; another game where you’re not obliged to use the ‘genuine books’ to play either.