Metadata-Version: 1.2
Name: epydemic
Version: 1.3.1
Summary: Epidemic network simulations in Python
Home-page: http://github.com/simoninireland/epydemic
Author: Simon Dobson
Author-email: simoninireland@gmail.com
License: License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)
Description: epydemic: Epidemic simulations on networks in Python
        =====================================================
        
        .. image:: https://badge.fury.io/py/epydemic.svg
            :target: https://badge.fury.io/py/epydemic
        
        .. image:: https://readthedocs.org/projects/pyepydemic/badge/?version=latest
            :target: https://pyepydemic.readthedocs.io/en/latest/index.html
        
        .. image:: https://api.travis-ci.com/simoninireland/epydemic.svg?branch=master
            :target: http://travis-ci.com/github/simoninireland/epydemic
        
        .. image:: https://coveralls.io/repos/github/simoninireland/epydemic/badge.svg?branch=master
            :target: https://coveralls.io/github/simoninireland/epydemic?branch=master
        
        
        Overview
        --------
        
        ``epydemic`` is a Python library that implements simulations of epidemic
        (and other) processes on networks. Epidemic processes are very
        important in both network science and its applications. The most
        common application is to study the ways in which diseases progress in
        different network conditions, depending on their infectiousness and
        other properties.
        
        ``epydemic`` provides simulation under synchronous and stochastic (Gillespie) dynamics,
        using the well-known ``networkx`` package to represent and manipulate
        networks. It supports a generic model for compartmented models of
        disease with several standard models provided and which can be
        extended to other, more complex, diseases. It also supports other
        network processes such as addition-deletion networks.
        
        ``epydemic`` is built on top of the ``epyc`` experiment management library,
        allowing simulations to be conducted at scale on individual machines,
        multicore machines, and parallel computing clusters.
        
        
        Installation
        ------------
        
        You can install ``epydemic`` directly from PyPi using ``pip``:
        
        ::
        
           pip install epydemic
        
        The master distribution of ``epydemic`` is hosted on GitHub. To obtain a
        copy, just clone the repo:
        
        ::
           
            git clone git@github.com:simoninireland/epydemic.git
            cd epydemic
            python setup.py install
        
        
           
        Documentation
        -------------
        
        API documentation for `epydemic` is available on `ReadTheDocs <https://pyepydemic.readthedocs.io/en/latest/>`_
        (please note the slightly different project name).
        
        
        
        Author and license
        ------------------
        
        Copyright (c) 2017-2020, Simon Dobson <simoninireland@gmail.com>
        
        Licensed under the `GNU General Public License v2 or later (GPLv2+) <http://www.gnu.org/licenses/gpl.html>`_.
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
