Skip to main content

Metapackage of Scikit-HEP project libraries for Particle Physics.

Project description

https://scikit-hep.org/assets/images/Scikit--HEP-Project-blue.svg https://img.shields.io/gitter/room/gitterHQ/gitter.svg https://img.shields.io/pypi/v/scikit-hep.svg https://img.shields.io/conda/vn/conda-forge/scikit-hep.svg https://zenodo.org/badge/DOI/10.5281/zenodo.1043949.svg https://github.com/scikit-hep/scikit-hep/workflows/CI/badge.svg https://coveralls.io/repos/github/scikit-hep/scikit-hep/badge.svg?branch=master

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-hep

or you can use Conda through conda-forge:

conda install -c conda-forge scikit-hep

All the normal best-practices for Python apply; you should be in a virtual environment, etc.

Package version and dependencies

Please check the setup.py 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: 3.8.6 (default, Sep 24 2020, 21:45:12)  [GCC 8.3.0]
executable: /usr/local/bin/python
   machine: Linux-4.19.104-microsoft-standard-x86_64-with-glibc2.2.5

Python dependencies:
       pip: 20.2.3
setuptools: 50.3.0
     numpy: 1.20.3
     scipy: 1.6.3
    pandas: 1.2.4
matplotlib: 3.4.2

Scikit-HEP package version and dependencies:
       awkward0: 0.15.5
        awkward: 1.2.3
boost_histogram: 1.0.2
  decaylanguage: 0.11.0
       hepstats: 0.4.0
       hepunits: 2.1.1
           hist: 2.3.0
     histoprint: 2.1.0
        iminuit: 2.6.1
         mplhep: 0.3.7
       particle: 0.15.0
          skhep: 3.2.0
         uproot: 4.0.8
        uproot3: 3.14.4
uproot3_methods: 0.10.1
         vector: 0.8.2

Note on the versioning system:

  • A version `scikit-hep x.y is compatible with the releases of all package dependents versions `a.b.c for all c.

  • Major version updates are prepared every time (at least) a “package component” does the same.

  • Minor version updates are the typical updates, when (at least) a package goes from version a.b to `a.(b+1).

  • Patch version updates are only done if there is some reason on the side of the metapackage itself.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scikit-hep-3.3.0.tar.gz (40.0 kB view details)

Uploaded Source

Built Distribution

scikit_hep-3.3.0-py3-none-any.whl (38.3 kB view details)

Uploaded Python 3

File details

Details for the file scikit-hep-3.3.0.tar.gz.

File metadata

  • Download URL: scikit-hep-3.3.0.tar.gz
  • Upload date:
  • Size: 40.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for scikit-hep-3.3.0.tar.gz
Algorithm Hash digest
SHA256 fd3cd76d8f5c8243b6e15ec6c308b5049a8b0f674e7c7fa49ae35a3bf126524a
MD5 21b010e6bcf5b4442bd664e26e6594e6
BLAKE2b-256 939c8bc5b606ec0ee4ef759b4b728c3b441e7e2199f7907a5e46cbe13b585db2

See more details on using hashes here.

File details

Details for the file scikit_hep-3.3.0-py3-none-any.whl.

File metadata

  • Download URL: scikit_hep-3.3.0-py3-none-any.whl
  • Upload date:
  • Size: 38.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for scikit_hep-3.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a3e7cc11e72f97f8360576c918cb5923ab36351bee07a8682e0ed610aae8cce4
MD5 bd3072be2401d103170731642f961000
BLAKE2b-256 c2562453001a3033aa21d2a916c654dee271bb7d348418bd8479d7bbff98f1ea

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page