Showcasing computational experiments

I will give a talk “Showcasing computational experiments” at the CIRCA lunchtime seminar on 25th October 2018.

Abstract: Have you been frustrated by trying to use someone else’s code which is non-trivial to install? Have you tried to make supplementary code for your paper to be easily accessible for the reader? If so, you certainly know that this may require non-trivial efforts. However, it’s 2018, and there are some new tools available. These tools can make this process simpler, for example, for a potential reader and/or reviewer of your paper. I will demonstrate how to use these tools to create a reproducible computational experiment with GAP, and will explain which skills will be needed for that. You are welcome to bring your laptop to try to access and reproduce some experiments that are already presented in this way.

Links:

• A collection of GAP Jupyter notebooks
• hamiltonian-cayley-graphs
• Jupyter-Viz package by Nathan Carter
• Ten Simple Rules for Reproducible Research in Jupyter Notebooks by A.Rule et al.