Fwd: ANN: Astropy v3.0 released

[Stuart Mumford]

See below for the Astropy 3.0 release announcement.

Note that this release of Astropy is Python 3.0 only, and that you require SunPy 0.8.4 to use it without issue.

Astropy 3.0 includes a change to WCSAxes which changes the default behaviour of axes labels, so when drawing a grid over the solar disk (with Map.draw_grid) the labels for the HGS longitude and latitude will not be drawn unless ticks are visible (i.e. the whole limb is not visible).

Stuart

-------- Forwarded Message --------

Subject:	[astropy-dev] ANN: Astropy v3.0 released
Date:	Mon, 19 Feb 2018 13:50:40 -0500
From:	Erik Tollerud <erik.t...@gmail.com>
Reply-To:	astro...@googlegroups.com
To:	astropy-dev <astro...@googlegroups.com>, ast...@python.org, python-ann...@python.org, sc...@python.org

Dear colleagues,

We are very happy to announce the v3.0 release of the Astropy package,
a core Python package for Astronomy:

http://www.astropy.org

Astropy 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:

* Full support for velocities in the coordinates subpackage, including
SkyCoord objects and proper motion corrections.
* Very large ASCII files can now be read in as chunks, allowing larger
tables to be efficiently read in, along with other performance
improvements reading tables.
* Time objects can now be read from or written to FITS files following
the official FITS time standard.
* Table mixin columns (e.g., quantities) can now be losslessly saved
to HDF5 or FITS tables.
* Constants can now be versioned using context managers.
* Support for quantities in scipy special functions
* A new command line script, "showtable", is available to display
tables from any format Astropy can read.
* The pytest plugins for testing Astropy have been moved to external
packages, enabling their use in a wider range of Python packages.
* False alarm probabilities are now available for the Lomb-Scargle
periodogram implementation.

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/3.0.html

Note that the Astropy 3.x series is the first to only support Python
3. Python 2 users can continue to use the 2.x series, which will
receive bug fixes and support until the Python developers permanently
sunset Python 2.7 (scheduled for 2019).

Instructions for installing Astropy are provided on our website, and
extensive documentation can be found at:

    http://docs.astropy.org

If you make use of the Anaconda Python Distribution, you can update to
Astropy v3.0 with:

conda update astropy

Whereas if you usually use pip, you can do:

pip install astropy --upgrade

Please report any issues, or request new features via our GitHub repository:

    https://github.com/astropy/astropy/issues

Over 253 developers have contributed code to Astropy so far, and you
can find out more about the team behind Astropy here:

    http://www.astropy.org/team.html

As a reminder, Astropy v2.0 (our long term support release) will
continue to be supported with bug fixes until the end 2019, so if you
need to use Astropy in a very stable environment, you may want to
consider staying on the v2.0.x set of releases (for which we have
recently released v2.0.4).

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, 2018)."

where (Astropy Collaboration, 2018) is a citation to the Astropy Paper II:

https://arxiv.org/abs/1801.02634

This paper is still under review, however, and an earlier paper is
available describing the status of the package at the time of v0.2. If
your work has used Astropy since then, you are encouraged to
acknowledge both papers:

This research made use of Astropy, a community-developed core Python
package for Astronomy (Astropy Collaboration, 2013, 2018).

where (Astropy Collaboration, 2013) is a citation to the first Astropy Paper:

http://dx.doi.org/10.1051/0004-6361/201322068


Please feel free to forward this announcement to anyone you think
might be interested in this release! The announcement can also be
found online at http://www.astropy.org/announcements/release-3.0.html.


Special thanks to the coordinator for this release: Brigitta Sipocz.

Erik Tollerud, Tom Robitaille, Kelle Cruz, and Tom Aldcroft
on behalf of The Astropy Collaboration

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