I’ve been trying Workstation recently. Python dependency issues caused me to switch to Silverblue for the last 2 years. A new machine with Nvidia got me to try WS. I just had a mystery problem with Python after booting today and that got me looking into Anaconda. I didn’t know it was used under the kernel like this. I’m not sure how I feel about this level of Python integration. I would feel a lot more comfortable with a less accessible precompiled binary but I know I am likely making naïve assumptions saying this. Any thoughts or insights?
I see what you mean. The python ML ecosystem is… not far off from what you describe.
But please consider Python as a language outside the pytorch/numpy/whatever else ecosystem. The vast majority of Python doesn’t need you to setup a conda environment with a bunch of ML dependencies. It’s just some code and a couple of libraries in a virtualenv. And for system stuff, there’s almost never any dependency except the standard library.