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update docs
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gboeing committed Dec 30, 2020
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12 changes: 4 additions & 8 deletions docs/source/conf.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
"""Configure pynamical docs."""
# pynamical documentation build configuration file, created by
# sphinx-quickstart on Tue Jan 31 13:34:32 2017.
#
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# General information about the project.
project = "pynamical"
copyright = "2020, Geoff Boeing"
copyright = "2015-2021, Geoff Boeing"
author = "Geoff Boeing"

# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
version = "0.2.1"
# The full version, including alpha/beta/rc tags.
release = "0.2.1"
version = release = "0.3.0"

# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
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# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ["_static"]
html_static_path = []


# -- Options for HTMLHelp output ------------------------------------------
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27 changes: 11 additions & 16 deletions docs/source/index.rst
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.. pynamical documentation master file, created by
sphinx-quickstart on Tue Jan 31 13:34:32 2017.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
pynamical documentation
=======================
pynamical |version|
===================

.. toctree::
:maxdepth: 2
:caption: Contents:

pynamical

pynamical is a Python package for modeling, simulating, visualizing, and animating discrete nonlinear dynamical systems and chaos. It uses pandas, numpy, and numba for fast simulation, and matplotlib for beautiful visualizations and animations to explore system behavior. Compatible with Python 2 and 3.
**pynamical** is a Python package for modeling, simulating, visualizing, and animating discrete nonlinear dynamical systems and chaos. It uses pandas, numpy, and numba for fast simulation, and matplotlib for beautiful visualizations and animations to explore system behavior.

**Citation information**: Boeing, G. 2016. "`Visual Analysis of Nonlinear Dynamical Systems: Chaos, Fractals, Self-Similarity and the Limits of Prediction`_." *Systems*, 4 (4), 37. doi:10.3390/systems4040037.

You can read/cite the journal article about pynamical: Boeing, G. 2016. "`Visual Analysis of Nonlinear Dynamical Systems: Chaos, Fractals, Self-Similarity and the Limits of Prediction`_." *Systems*, 4 (4), 37. doi:10.3390/systems4040037.

Installation
------------
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.. code-block:: shell
conda install -c conda-forge pynamical
conda config --prepend channels conda-forge
conda create -n pynamical --strict-channel-priority jupyterlab pynamical
Alternatively, you can run pynamical + Jupyter directly from this
`docker container`_, or you can install it with pip:
Alternatively, you can run pynamical + Jupyter directly from its `Docker container`_, or you can install it with pip.

.. code-block:: shell

pip install pynamical
Examples
--------

For examples and demos, see the GitHub repo: `https://github.com/gboeing/pynamical`_



Support
-------

Issue tracker: `https://github.com/gboeing/pynamical/issues`_


License
-------

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8 changes: 0 additions & 8 deletions docs/source/modules.rst

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18 changes: 2 additions & 16 deletions docs/source/pynamical.rst
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pynamical package
=================

Submodules
----------

pynamical.pynamical module
--------------------------
pynamical module
----------------

.. automodule:: pynamical.pynamical
:members:
:undoc-members:
:show-inheritance:


Module contents
---------------

.. automodule:: pynamical
:members:
:undoc-members:
:show-inheritance:

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