University of Groningen https://wiki.hpc.rug.nl/ 2026-04-08T00:40:10+00:00 https://wiki.hpc.rug.nl/ https://wiki.hpc.rug.nl/_media/wiki/logo.png text/html 2026-04-07T13:57:21+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.hpc.rug.nl/habrok/software_environment/python/environments?rev=1775570241&do=diff Python Environments On Hábrók, you cannot install Python packages globally. Instead, you work in isolated Python environments — each environment is essentially a folder in your home directory that contains its own copy of Python and any packages you install into it. This means you can have multiple environments for different projects, each with their own set of packages and versions, without them interfering with each other. text/html 2026-04-07T12:51:09+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.hpc.rug.nl/habrok/software_environment/python/loading_python?rev=1775566269&do=diff Loading Python Python on Hábrók is not available by default, it is provided through the module system, which allows multiple versions to coexist on the cluster without interfering with each other. Before you can use Python or install any packages, you need to load the version you want to work with. The main take home message is: load a Python module for the version you need, then create a virtual environment for any packages not already available through the module system. The rest of this page… text/html 2026-04-07T13:02:13+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.hpc.rug.nl/habrok/software_environment/python/mamba?rev=1775566933&do=diff Mamba installation Mamba (<https://mamba.readthedocs.io/en/latest/index.html>) is an alternative to Anaconda, which is released under an open source license. In order to use it on Hábrók you can install it into your home directory. This can be done following the instructions on their website. Caveat text/html 2026-04-07T13:04:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.hpc.rug.nl/habrok/software_environment/python/running_jobs?rev=1775567087&do=diff Running Python Jobs This page covers how to submit Python jobs to the Hábrók cluster. All computationally intensive work on Hábrók must be submitted through the SLURM job scheduler rather than run directly on the login or interactive nodes. Depending on the nature of your code, there are four main ways to run Python jobs on the cluster. text/html 2026-04-07T13:01:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.hpc.rug.nl/habrok/software_environment/python/uv?rev=1775566886&do=diff UV uv is a modern Python package and project manager written in Rust. It is designed as a complete replacement for pip, pip-tools and venv, unifying them into a single tool. uv is significantly faster than pip because it was built with performance in mind from the ground up — it uses parallel downloading, aggressive caching, and a highly optimised dependency resolver.