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 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 .

  • 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-0.9.1.tar.gz (67.6 kB view details)

Uploaded Source

File details

Details for the file pyCloudy-0.9.1.tar.gz.

File metadata

  • Download URL: pyCloudy-0.9.1.tar.gz
  • Upload date:
  • Size: 67.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyCloudy-0.9.1.tar.gz
Algorithm Hash digest
SHA256 2aa3f580e1f1cfc54eec28793e1f73223907d12720035fd7b8652fc3c988d443
MD5 4e27ff0afb7f0588bfa9651e5f1e17d1
BLAKE2b-256 c36317bd0b0e155a8869600f0cf783674d70e09cee5ddf8f89dbc2f37f165d39

See more details on using hashes here.

Supported by

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