Skip to main content

Tools to manage Astronomical Cloudy photoionization code

Project description

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. PyCloudy uses numpy and other standard python libraries.

Installation

You may find useful to download, install and upgrade pyCloudy using pip.

For example:

  • pip install –user pyCloudy

Updates use the same command. You can also use

  • easy_install –user pyCloudy

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.

  • And the reference manual is accessible from this site HERE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyCloudy-0.8.37.tar.gz (46.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page