Running Python and conda on M3

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.

1. Conda (recommended): see Conda on M3 (Rocky 9).

2. 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.

• PyCharm

• Jupyter (iPython Notebooks)

• Jupyter with custom Python environments

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.