Astropy v5.1 Released!
+ ++ Dear colleagues, +
++ We are very happy to announce the v5.1 release of astropy, + a core Python package for Astronomy: +
+
+ 
+ http://www.astropy.org
+
+ The astropy core package is a community-driven Python package intended to contain much of the + core functionality and common tools needed for astronomy and astrophysics. + It is part of the Astropy Project, which aims to foster an ecosystem of + interoperable astronomy packages for Python. +
++ New and improved major functionality in this release includes: +
-
+
- Updates to cosmology +
- doppler_redshift() equivalency +
- Specifying data types when reading ASCII tables +
- Structured Columns +
- New model fitters have been added +
- Allow time conversions without predictive Earth rotation data (IERS-A) +
- Uncertainty classes can be transformed into each other +
- Schechter1D Model +
+ In addition, hundreds of smaller improvements and fixes have been made. An overview of the changes is provided at: +
++ http://docs.astropy.org/en/stable/whatsnew/5.1.html +
++ Instructions for installing astropy are provided on our website, and extensive documentation can be + found at: +
+ ++ If you usually use pip/vanilla Python, you can do: +
++pip install astropy --upgrade ++ +
+ If you make use of the Anaconda + Python Distribution, soon you will be able update to Astropy v5.1 with: +
++conda update astropy ++
+ Or if you cannot wait for Anaconda to update their default version, you can use the conda-forge channel: +
++conda update -c conda-forge astropy ++
+ Please report any issues, or request new features via our GitHub repository: +
++ https://github.com/astropy/astropy/issues +
++ Over 400 people have contributed code to the core astropy package so far, and you can find out more about the team here: +
++ https://www.astropy.org/team.html +
++ If you use astropy directly for your work, or as a dependency to another + package, please remember to acknowledge it by citing the appropriate + Astropy paper. For the most up-to-date suggestions, see + the acknowledgement page, but as of + this release the recommendation is: +
+This research made use of Astropy, a + community-developed core Python package for Astronomy (Astropy Collaboration, + 2018).
+ + ++ We hope that you enjoy using astropy as much as we enjoyed developing it! +
+
+ Simon Conseil
+ v5.1 Release Coordinator
+ on behalf of The Astropy Project
+