ANN: Astropy v1.1 released
We are very happy to announce the v1.1 release of the Astropy package, a core Python package for Astronomy:
Astropy is a community-driven Python package intended to contain much of the core functionality and common tools needed for astronomy and astrophysics.
New and improved major functionality in this release includes:
* New functions to automatically determine histogram bins, including the Bayesian blocks algorithm * A new interface to transform between Table objects and pandas DataFrame objects * Support for table indexing * Support for supergalactic and ecliptic coordinates * A new .info attribute to get summary information about tables and columns * A new show_in_notebook() method to show a table in Jupyter/IPython notebooks with additional interactivity features * Support for new units, including logarithmic units such as magnitudes, dex, and decibels * Support for the Planck 2015 cosmology and significant performance improvements in the cosmology sub-package
In addition, hundreds of smaller improvements and fixes have been made. An overview of the changes is provided at:
Instructions for installing Astropy are provided on our website, and extensive documentation can be found at:
If you make use of the Anaconda Python Distribution, you can update to Astropy v1.1 with:
conda update astropy
If you normally use pip, you can upgrade with:
pip install astropy --upgrade
Please report any issues, or request new features via our GitHub repository:
Over 160 developers have contributed code to Astropy so far, and you can find out more about the team behind Astropy here:
As a reminder, Astropy v1.0 (our long term support release) will continue to be supported with bug fixes until Feb 19th 2017, so if you need to use Astropy in a very stable environment, you may want to consider staying on the v1.0.x set of releases rather than upgrading to v1.1.
If you use Astropy directly for your work, or as a dependency to another package, please remember to include the following acknowledgment at the end of papers:
""" This research made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration, 2013). """
where (Astropy Collaboration, 2013) is a reference to the Astropy paper:
Please feel free to forward this announcement to anyone you think might be interested in this release!
Thomas Robitaille, Erik Tollerud, and Perry Greenfield on behalf of The Astropy Collaboration