Metadata-Version: 2.1
Name: measurement
Version: 4.0a8
Summary: Easily use and manipulate unit-aware measurements in Python.
Keywords: measurement
Author-email: Adam Coddington <me@adamcoddington.net>, Johannes Maron <johannes@maron.family>
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: JavaScript
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Software Development
Classifier: Topic :: Utilities
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development :: Localization
Requires-Dist: sphinx ; extra == "docs"
Requires-Dist: python-docs-theme ; extra == "docs"
Requires-Dist: pytest ; extra == "test"
Requires-Dist: pytest-cov ; extra == "test"
Project-URL: Project-URL, http://github.com/coddingtonbear/python-measurement
Provides-Extra: docs
Provides-Extra: test

==================
Python measurement
==================

**High precision unit-aware measurement objects in Python.**

.. code-block:: python

    >>> from measurement import measures
    >>> measures.Distance("12 megaparsec")["British yard"]
    Decimal('404948208659679393828910.8771')

This package provides a large reference collection of various measure and
their corresponding SI (Metric), US or Imperial units. Its high precision
supports use cases all the way from quantum mechanics to astrophysics.

- Documentation for python-measurement is available an
  `ReadTheDocs <https://python-measurement.readthedocs.org/>`_.
- Please post issues on
  `Github <https://github.com/coddingtonbear/python-measurement/issues>`_.

