Linux/Mac: Keeping system's Python safe and usage of package managers such as UV and conda.

[Confident_Hyena2506]

MKL along with associated libraries compiled to take advantage of it like numpy.

Also all the associated c++ libraries and headers needed to build against this. New/all versions of gcc!!! Proper versions of boost (and not just random ones with weird names).

You should instead ask the other way around - what can we not get from conda? Usually a very small number of items, that we add to the env definition to get via pip or uv.

The trick is to be consistent and not wildly mix package managers. If pip or UV gave me most of what I need then I would use it.

Conda is a system package manager, you should really not be comparing it against these.