Published 2019 | Version v1
Journal article

The Scikit-HEP Project

  • 1. University of Cincinnati, (United States)

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/f8f9d5ec1c324f90aa159d17cfbdd18b

Additional details

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