And for the opposite, where you keep your main pipeline in shell but want to use python for some parts of it, there is pypyp.
https://pypi.org/project/pypyp/
It takes cares of the input and output boilerplate so you can focus on the actual code that you wanted python for.
> seq 1 5 | pyp 'sum(map(int, lines))'
> ls | pyp 'Path(x).suffix'So cool! I made pawk [1] to get some of the same features, but yours is better! Congrats!
If we run the radiators at 80C (a reasonable temp for silicon), that's about 350K, assuming the outside is 0K which makes the radiator be able to radiate away about 1500W, so roughly double.
Depending on what percentage of time we spend in sunlight (depends on orbit, but the number's between 50%-100%, with a 66% a good estimate for LEO), we can reduce the radiator surface area by that amount.
So a LEO satellite in a decaying orbit (designed to crash back onto the Earth after 3 years, or one GPU generation) could work technically with 33% of the solar panel area dedicated to cooling.
Realistically, I'd say solar panels are so cheap, that it'd make more sense to create a huge solar park in Africa and accept the much lower efficiency (33% of LEO assuming 8 hours of sunlight, with a 66% efficiency of LEO), as the rest of the infrastructure is insanely more trivial.
But it's fun to think about these things.