Swarm Notebooks Overview¶
Note
The following pages are generated from the notebooks hosted at https://github.com/Swarm-DISC/Swarm_notebooks
They can be explored interactively on the VRE:
Swarm_notebooks
are a guide to the Swarm products and usage of related Python packages, providing demonstrations and replicable recipes to launch analyses of the data. You can browse them organised by theme on the left. In the long term these notebooks are intended to be a community-built resource and so we are open to all forms of contributions - check the README at https://github.com/Swarm-DISC/Swarm_notebooks
The notebook file names follow a naming convention to categorise and allow for future development:
01a__<nbname>.ipynb Theme 1, subject a
01b__<nbname>.ipynb Theme 1, subject b
01b1_<nbname>.ipynb Theme 1, subject b, addendum 1
02a__<nbname>.ipynb Theme 2, subject a
...