- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
The Scikit HEP Project overview and prospects
-
- C. Doglioni
- editor
-
- D. Kim
- editor
-
- G.A. Stewart
- editor
-
- L. Silvestris
- editor
-
- P. Jackson
- editor
-
- W. Kamleh
- editor
Description
<jats:p>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.</jats:p>
Journal
-
- EPJ Web of Conferences
-
EPJ Web of Conferences 245 06028-, 2020
EDP Sciences
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1360302867630798592
-
- ISSN
- 2100014X
-
- Data Source
-
- Crossref
- OpenAIRE