Published 2019
| Version v1
Journal article
The Scikit-HEP Project
Description
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.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_06005.pdf; https://doaj.org/article/f8f9d5ec1c324f90aa159d17cfbdd18bAdditional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 214
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- 23. International Conference on Computing in High Energy and Nuclear Physics
- Acronym
- CHEP 2018
- Dates
- 9-13 Jul 2018
- Place
- Sofia (Bulgaria)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53095344
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPUTERIZED SIMULATION; DATASETS; PYTHON
- Descriptors DEC
- DOCUMENT TYPES; PROGRAMMING LANGUAGES; SIMULATION