Skip to main content

A suite of parsers designed to make interacting with SERPENT output files simple, scriptable, and flawless

Project description

Build status - develop Documentation Status PyPi badge Zenodo DOI 10.5281/zenodo.1301036

A suite of parsers designed to make interacting with SERPENT [1] output files simple and flawless.

The SERPENT Monte Carlo code is developed by VTT Technical Research Centre of Finland, Ltd. More information, including distribution and licensing of SERPENT can be found at http://montecarlo.vtt.fi

Installation

serpentTools can be installed with pip using:

$ python -m pip install --user --upgrade pip serpentTools

For more detailed instructions, including operating-system specific instructions and building from source, see Installation Guide.

Issues

If you have issues installing the project, find a bug, or want to add a feature, the GitHub issue page is the best place to do that.

References

The Annals of Nuclear Energy article should be cited for all work using SERPENT. If you wish to cite this project, please cite as:

Andrew Johnson, Dan Kotlyar, Gavin Ridley, Stefano Terlizzi, & Paul Romano.
(2018, June 29). "`serpent-tools: A collection of parsing tools and
data containers to make interacting with SERPENT outputs easy, intuitive, and flawless.
<https://doi.org/10.5281/zenodo.1301036>`_,".
[1]Leppanen, J. et al. (2015) “The Serpent Monte Carlo code: Status, development and applications in 2013.” Ann. Nucl. Energy, 82 (2015) 142-150

Project details


Download files

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

Files for serpentTools, version 0.9.1
Filename, size File type Python version Upload date Hashes
Filename, size serpentTools-0.9.1-py3-none-any.whl (6.0 MB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size serpentTools-0.9.1.tar.gz (2.9 MB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page