| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 06028 | |
| Number of page(s) | 6 | |
| Section | 6 - Physics Analysis | |
| DOI | https://doi.org/10.1051/epjconf/202024506028 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024506028
The Scikit HEP Project overview and prospects
1
University of Liverpool
2
University of Bristol
3
CERN
4
BNL
5
Technical University Dortmund
6
Princeton University
7
National Institute of Technology, Silchar
8
Princeton University
9
University of Illinois at Urbana Champaign
10
EPFL, Lausanne
11
FNAL
12
Institute of Engineering and Management, Kolkata
* e-mail: eduardo.rodrigues@liverpool.ac.uk
** e-mail: b.krikler@bristol.ac.uk
*** e-mail: christopher.burr@cern.ch
**** e-mail: dsmirnov@bnl.gov
† e-mail: hans.dembinski@tu-dortmund.de
‡ e-mail: henry.fredrick.schreiner@cern.ch
§ e-mail: nandi.jaydeep296@gmail.com
¶ e-mail: pivarski@princeton.edu
|| e-mail: matthew.feickert@cern.ch
** e-mail: matthieu.marinangeli@epfl.ch
†† e-mail: nick.smith@cern.ch
‡‡ e-mail: reikdas@gmail.com
Published online: 16 November 2020
Scikit-HEP is a community-driven and community-oriented project with the goal of providing an ecosystem for particle physics data analysis in Python. Scikit-HEP is a toolset of approximately twenty packages and a few “affiliated” packages. It expands the typical Python data analysis tools for particle physicists. Each package focuses on a particular topic, and interacts with other packages in the toolset, where appropriate. Most of the packages are easy to install in many environments; much work has been done this year to provide binary “wheels” on PyPI and conda-forge packages. The Scikit-HEP project has been gaining interest and momentum, by building a user and developer community engaging collaboration across experiments. Some of the packages are being used by other communities, including the astroparticle physics community. An overview of the overall project and toolset will be presented, as well as a vision for development and sustainability.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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