Using PyCharm with docker-compose as the interpreter works like a dream (relative to Python development). No more dependency problems and then you can also have a full setup with postgres, Celery, redis, etc. all available on the local machine.

My mac is a couple years old and I don't have the fan of death problem everyone seems to complain about. The best thing is allowing my team to know with confidence we're developing against the exact same environment.

I'm in Windows / Linux, my wife is on MacOS. She wanted to help with some python programming. Yep - playing super nerd is LAME. I thought getting environment setup to match mine would be pip requirements.txt but no go.

Really facinating. I think things like go / rust etc? may work better - you compile everything and compile to binary on platform, so don't need to build and carry around environments everywhere.

I moved to docker deploys / dockerfiles locally for pretty much everything. Totally overkill, but when I switched to working from home was so glad I could just get up and go without getting my overall system sorted out.

I haven't totally figured out the WSL2 python remote interpreter / debugger code flow yet however, so still using docker. I'm sure WSL2 will or is an option.

I've been tempted to just vnc or similar into a cloud instance, but my local machine is to fast by comparison for the price.