A Python implementation of Vondrák's long term precession model and Fortran code.
- Some New Thoughts About Long-Term Precession (2010)
- New Long-Term Expressions for Precession (2011)
- New precession expressions, valid for long time intervals (2011)
- New precession expressions, valid for long time intervals (Corrigendum) (2012)
The only dependency is numpy.
To install the Vondrak Python package via PyPI, simply pip3 install vondrak. For Python 2, use pip. All code is hosted at github.com/dreamalligator/vondrak.
Alternatively, clone the repo git clone https://github.com/dreamalligator/vondrak, and install from source with python3 setup.py install.
View the docs at dreamalligator.github.io/vondrak, or generate with make html in the docs folder.
Setup a conda environment by simply running conda env create --file environment.yml and activate by conda activate vondrak.
Tests use the pytest framework. Simply run pytest.
MIT