Metapackage of Scikit-HEP project libraries for Particle Physics.
Project description
Project info
The Scikit-HEP project is a community-driven and community-oriented project with the aim of providing Particle Physics at large with an ecosystem for data analysis in Python embracing all major topics involved in a physicist’s work. The project started in Autumn 2016 and its packages are actively developed and maintained.
It is not just about providing core and common tools for the community. It is also about improving the interoperability between HEP tools and the Big Data scientific ecosystem in Python, and about improving on discoverability of utility packages and projects.
For what concerns the project grand structure, it should be seen as a toolset rather than a toolkit.
Getting in touch
There are various ways to get in touch with project admins and/or users and developers.
scikit-hep package
scikit-hep is a metapackage for the Scikit-HEP project.
Installation
You can install this metapackage from PyPI with pip:
python -m pip install scikit-hepor you can use Conda through conda-forge:
conda install -c conda-forge scikit-hepAll the normal best-practices for Python apply; you should be in a virtual environment, etc.
Package version and dependencies
Please check the setup.cfg and requirements.txt files for the list of Python versions supported and the list of Scikit-HEP project packages and dependencies included, respectively.
For any installed scikit-hep the following displays the actual versions of all Scikit-HEP dependent packages installed, for example:
>>> import skhep
>>> skhep.show_versions()
System:
python: 3.10.10 | packaged by conda-forge | (main, Mar 24 2023, 20:08:06) [GCC 11.3.0]
executable: /srv/conda/envs/notebook/bin/python
machine: Linux-5.15.0-72-generic-x86_64-with-glibc2.27
Python dependencies:
pip: 23.1.2
numpy: 1.24.3
scipy: 1.10.1
pandas: 2.0.2
matplotlib: 3.7.1
Scikit-HEP package version and dependencies:
awkward: 2.2.2
boost_histogram: 1.3.2
decaylanguage: 0.15.3
hepstats: 0.6.1
hepunits: 2.3.2
hist: 2.6.3
histoprint: 2.4.0
iminuit: 2.21.3
mplhep: 0.3.28
particle: 0.22.0
pylhe: 0.6.0
resample: 1.6.0
skhep: 2023.06.09
uproot: 5.0.8
vector: 1.0.0Note on the versioning system:
This package uses Calendar Versioning (CalVer).
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file scikit-hep-2023.6.9.tar.gz.
File metadata
- Download URL: scikit-hep-2023.6.9.tar.gz
- Upload date:
- Size: 25.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d93cd5e9b01c82475df4ef859f6f4f74a99db593320791b2b1de63f376f719cf |
|
| MD5 | 368e0de8a99ef55b47217ef7b83e5082 |
|
| BLAKE2b-256 | b7b0f5718fc06b899e0c38368fa7f54fce3e8c95d3b65210081477731fe02e4f |
File details
Details for the file scikit_hep-2023.6.9-py3-none-any.whl.
File metadata
- Download URL: scikit_hep-2023.6.9-py3-none-any.whl
- Upload date:
- Size: 22.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b620be604b90b13f904544ff43a4b9ed7a07143a03a616f3437e81299e35f11d |
|
| MD5 | f40fdb7d7597c4a3b365a78283f0f4c1 |
|
| BLAKE2b-256 | 77f7d6bac540d33a50522fa68c0007b11d8cbdcade0c52f91fca40550204303c |
