Running Python and conda on M3
These are our old docs! Please see our new docs by clicking on the M3 docs dropdown and selecting "New M3 docs".
These old docs were roughly converted from our old format. As a result, this copy is not identical to our previous docs. You can still find our old docs at https://old-docs.massive.org.au/.
You may notice some formatting and structural issues with these old docs. We will not resolve these, this is here purely for backwards compatibility to ensure old URLs do not die.
There are a few differences between installing Python on your local workstation and M3. The HPC is a shared system, and as an end user, you are unable to install software directly or have access to sudo (admin) privileges. This is so you don't impact other users utilising the same software.
There are two main methods for managing your own Python environments on M3.
- Conda (recommended): see Conda on M3 (Rocky 9) .
- Venv (not recommended): see Running Python Virtual Environments on M3 .
Other Python Tools on M3
There are other tools available to access Python on M3.
Python and conda: Frequently Asked Questions (FAQ)
The Python and conda FAQ may assist you to independently solve Python related problems on M3. If you would like to add to this FAQ, or are unable to resolve your problem, please email us at help@massive.org.au.