pyCloudy


NamepyCloudy JSON
Version 0.9.12 PyPI version JSON
download
home_pagehttps://sites.google.com/site/pycloudy/
SummaryTools to manage Astronomical Cloudy photoionization code
upload_time2023-05-27 20:19:18
maintainerChristophe Morisset IA-UNAM
docs_urlhttps://pythonhosted.org/pyCloudy/
authorChristophe Morisset IA-UNAM
requires_python
licenseGPL
keywords astronomy photoionization cloudy
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            PyCloudy is a Python library to deal with input and output files of Cloudy (Gary Ferland) photoionization code.
Is also allows to generate 3D nebula from various runs of the 1D Cloudy code.

Requirements
============

You will need to have installed `Cloudy <http://nublado.org/>`_ .
PyCloudy uses numpy and other standard python libraries.

Installation
============

You may find useful to download, install and upgrade pyCloudy using
`pip <http://www.pip-installer.org/en/latest/index.html>`_ .

For example:

* pip install pyCloudy

Updates use the same command. You can also use 

* easy_install pyCloudy

To use the devel package (at your own risks!!!):

* pip install -U git+https://github.com/Morisset/pyCloudy.git

Warranty
========

PyCloudy is provided as it is. No Warranty at all, you cannot complain if it runs models which are not fitting your data! :-)

Manual
======

* There is no manual for now... There will soon be a HowTo page.

* But... there is some examples of use in the `pyCloudy home page
  <https://sites.google.com/site/pycloudy/>`_ .
  
* And the reference manual is accessible from this site `HERE
  <https://morisset.github.io/pyCloudy_Manual/html/index.html>`_ .
 
Acknowledgements
================

This project is partly supported by grants DGAPA/PAPIIT-107215 and CONACyT-CB2015-254132.

            

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