The alternative to Conda style python environments is to use Python's virtual environment approach. There is an environment module on all HPC clusters named: python/3.12.7 that can be used.

You can create a Python virtual environment and have the needed packages placed there. You can have the packages installed into the Python interpreter available systemwide.

Astral's uv utility simplifies and speeds up working with Python virtual environments. But it has some other superpowers, too: it lets you run Python packages and programs without having to ...