Metadata-Version: 2.1
Name: pyProdigy
Version: 0.0.0
Summary: Utilities and scripts for the Prodigy project.
Home-page: https://github.com/ltesti/pyProdigy
Author: Leonardo Testi
Author-email: ltesti120a@gmail.com
License: LGPLv3
Download-URL: https://github.com/ltesti/pyPro/archive/0.0.00.tar.gz
Keywords: science,astronomy,interferometry,ALMA
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Requires-Dist: numpy (>=1.9)
Requires-Dist: matplotlib

=========
pyProdigy
=========
A simple package to work with Prodigy ALMA data 

Installation
------------

**uvplot** works on `Python` >=2.7 and >=3.6 and can be installed with:

.. code-block :: bash

    pip install pyProdigy

To make **pyProdigy** available in CASA, run from the shell:

.. code-block :: bash

    casa-pip install pyProdigy

where `casa-pip` is a tool that can be downloaded at `https://github.com/radio-astro-tools/casa-python <https://github.com/radio-astro-tools/casa-python>`_.

To upgrade **pyProdigy** to a newer version on your system, just run:

.. code-block :: bash

    pip install --upgrade pyProdigy

To upgrade **pyProdigy** inside CASA use the `--no-deps` option to prevent `casa-pip` from automatically upgrading `numpy` and `matplotlib` (which is not allowed inside CASA and will lead to errors):

.. code-block :: bash

    casa-pip install --upgrade --no-deps pyProdigy

**pyProdigy** has been tested on CASA versions >= 5.6.0.

License and Attribution
-----------------------
If you use **pyProdigy** for your publication, please acknowledge the Prodigy project

**pyProdigy** is free software licensed under the LGPLv3 License. For more details see the LICENSE.

Remember that **pyProdigy** is released without guarantees of accuracy, always check that what you do makes sense for the purpose you are doing it. Never blindly trust numbers out of a computer.

© Copyright 2020 Leonardo Testi and contributors.


