Marijan Beg¹, Juliette Taka², Thomas Kluyver³, Alexander Konovalov⁴, Min Ragan-Kelley⁵, Nicolas Thiéry⁶, and Hans Fangohr⁷

¹ Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom
² Logilab, 75013 Paris, France
³ European XFEL GmbH, 22869 Schenefeld, Germany
⁴ School of Computer Science, University of St Andrews, St Andrews KY16 9AJ, United Kingdom
⁵ Simula Research Laboratory, 1364 Fornebu, Norway
⁶ Laboratoire de Recherche en Informatique, Université Paris-Saclay, CNRS, 91405 Orsay, France
⁷ Max Planck Institute for the Structure and Dynamics of Matter, 22761 Hamburg, Germany

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This repository contains all the necessary data and information required to reproduce Figure 3 in:

• M. Beg, J. Taka, T. Kluyver, A. Konovalov, M. Ragan-Kelley, N. Thiéry, and H. Fangohr. Using Jupyter for reproducible scientific workflows. Computing in Science & Engineering 23, 36 (2021).

You can run the Jupyter notebook in the cloud via Binder. To access Binder, use the badge in the table above.

Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.

1. M. Beg, J. Taka, T. Kluyver, A. Konovalov, M. Ragan-Kelley, N. Thiéry, and H. Fangohr. Using Jupyter for reproducible scientific workflows. Computing in Science & Engineering 23, 36 (2021).

2. M. Beg, J. Taka, T. Kluyver, A. Konovalov, M. Ragan-Kelley, N. Thiéry, and H. Fangohr. Accompanying repository for "Using Jupyter for reproducible scientific workflows". GitHub: https://github.com/marijanbeg/2021-paper-jupyter-reproducible-workflows, DOI: 10.5281/zenodo.4382224 (2021).

• OpenDreamKit – Horizon 2020 European Research Infrastructure project (676541)

• EPSRC Programme Grant on Skyrmionics (EP/N032128/1)