The Scikit HEP Project overview and prospects
- 1. University of Liverpool (United Kingdom)
- 2. University of Bristol (United Kingdom)
- 3. CERN (Switzerland)
- 4. BNL (United States)
- 5. Technical University Dortmund (Germany)
Description
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.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_06028.pdf; https://doaj.org/article/82a015d79b554243ad2ec893c4887d66Additional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 245
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- 24. International Conference on Computing in High Energy and Nuclear Physics
- Acronym
- CHEP 2019
- Dates
- 4-8 Nov 2019
- Place
- Adelaide (Australia)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53090219
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPUTER CODES; COMPUTERIZED SIMULATION; DATA ANALYSIS; PYTHON; SUSTAINABILITY
- Descriptors DEC
- DATA PROCESSING; PROCESSING; PROGRAMMING LANGUAGES; SIMULATION