EPJ Web Conf.
Volume 245, 202024th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|Number of page(s)||6|
|Section||6 - Physics Analysis|
|Published online||16 November 2020|
The Scikit HEP Project overview and prospects
University of Liverpool
2 University of Bristol
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
12 Institute of Engineering and Management, Kolkata
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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
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