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The Scikit-HEP Project · Around

2019

The Scikit-HEP Project

Rodrigues, Eduardo

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Understand

The Scikit-HEP project is a community-driven and community-oriented effort with the aim of providing Particle Physics at large with a Python scientific toolset containing core and common tools.

The project builds on five pillars that embrace the major topics involved in a physicist's analysis work: datasets, data aggregations, modelling, simulation and visualisation.
The vision is to build a user and developer community engaging collaboration across experiments, to emulate scikit-learn's unified interface with Astropy's embrace of third-party packages, and to improve discoverability of relevant tools.

Built on

M. Cacciari, G. P. Salam, G. Soyez, FastJet user manual, Eur. Phys. J. C 72
2012
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The Astropy Collaboration, Thomas P Robitaille et al
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The ROOT data analysis framework, https://root.cern.ch/
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The Scikit-HEP Project, http://scikit-hep.org/
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Noel Dawe et al
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Chris Burr, “scikit-hep/formulate” [software]
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Jim Pivarski et al
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Vega-Lite – a grammar of interactive graphics, https://vega.github.io/vega-lite/
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Vega – a visualization grammar, https://vega.github.io/vega/
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Then

Jake VanderPlas, The Unexpected Effectiveness of Python in Science
2017
Later among the works it cites.

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