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Colour Science for Python

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Colour is a Python colour science package implementing a comprehensive number of colour theory transformations and algorithms.

It is open source and freely available under the New BSD License terms.

Features

Colour features a rich dataset and collection of objects, please see the features page for more information.

Installation

The detailed installation procedure is described in the Installation Guide.

Anaconda from Continuum Analytics is the Python distribution we use to develop Colour: it ships all the scientific dependencies we require and is easily deployed cross-platform.

This asciicast demonstrates how to generate a pristine Python conda environment for Colour:

https://raw.githubusercontent.com/colour-science/colour-branding/master/screencasts/Colour_Conda_Installation.gif

Usage

At its most basic, Colour only requires to be imported:

https://raw.githubusercontent.com/colour-science/colour-branding/master/screencasts/Colour_Science_for_Python.gif

The two main references for Colour usage are the complete Sphinx API Reference and the Jupyter Notebooks with detailed historical and theoretical context and images:

Contributing

If you would like to contribute to Colour, please refer to the following Contributing guide.

Changes

The changes are viewable on the Releases page.

Bibliography

The bibliography is available on the Bibliography page.

It is also viewable directly from the repository in either BibTeX format or reStructuredText.

About

Colour by Colour Developers - 2013-2017
Copyright © 2013-2017 – Colour Developers – [email protected]
This software is released under terms of New BSD License: http://opensource.org/licenses/BSD-3-Clause

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