https://github.com/environmentalscience/essm

This package contains helpers to deal with physical variables and units.
https://github.com/environmentalscience/essm

environmental-modelling python sagemath science sympy

Last synced: 2 months ago
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This package contains helpers to deal with physical variables and units.

• Host: GitHub
• URL: https://github.com/environmentalscience/essm
• Owner: environmentalscience
• License: gpl-2.0
• Created: 2017-05-11T10:12:00.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2022-12-22T08:52:38.000Z (almost 3 years ago)
• Last Synced: 2024-09-19T08:48:15.397Z (about 1 year ago)
• Topics: environmental-modelling, python, sagemath, science, sympy
• Language: Python
• Homepage: https://environmentalscience.github.io/essm/
• Size: 2.54 MB
• Stars: 12
• Watchers: 3
• Forks: 5
• Open Issues: 12
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGES.rst
  • License: LICENSE

Awesome Lists containing this project

README

          
=========================================

Environmental Science using Symbolic Math

=========================================

.. image:: https://zenodo.org/badge/90965956.svg

        :target: https://zenodo.org/badge/latestdoi/90965956

.. image:: https://img.shields.io/travis/environmentalscience/essm.svg

        :target: https://travis-ci.org/environmentalscience/essm

.. image:: https://img.shields.io/coveralls/environmentalscience/essm.svg

        :target: https://coveralls.io/r/environmentalscience/essm

.. image:: https://img.shields.io/github/tag/environmentalscience/essm.svg

        :target: https://github.com/environmentalscience/essm/releases

.. image:: https://img.shields.io/pypi/dm/essm.svg

        :target: https://pypi.python.org/pypi/essm

.. image:: https://img.shields.io/github/license/environmentalscience/essm.svg

        :target: https://github.com/environmentalscience/essm/blob/master/LICENSE

This package contains helpers to deal with physical variables and units.

The documentation is available on https://essm.rtfd.io/.

The quick installation for impatient users can be done by running::

    pip install essm