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‎_static/css/astropy-org.css‎

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.announce-logo {
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‎_static/img/astropy_logo_notext.png‎

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‎announcements/release-0.4.rst‎

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:orphan:
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Astropy v0.4 Released!
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======================
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Dear colleagues,
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We are very happy to announce the third major public release (v0.4) of
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the astropy package, a core Python package for Astronomy:
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http://www.astropy.org
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Astropy is a community-driven package intended to contain much of the
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core functionality and common tools needed for performing astronomy and
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astrophysics with Python.
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New and improved major functionality in this release includes:
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- A new astropy.vo.samp sub-package adapted from the previously
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standalone SAMPy package
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- A re-designed astropy.coordinates sub-package for celestial
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coordinates
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- A new ‘fitsheader’ command-line tool that can be used to quickly
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inspect FITS headers
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- A new HTML table reader/writer
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- Improved performance for Quantity objects
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- A re-designed configuration framework
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In addition, hundreds of smaller improvements and fixes have been made.
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An overview of the changes is provided at:
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     https://docs.astropy.org/en/stable/whatsnew/0.4.html
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Instructions for installing Astropy are provided on our
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`website <http://www.astropy.org>`__, and extensive documentation can be
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found at:
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     https://docs.astropy.org
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In particular, if you use Anaconda, you can update to v0.4 with:
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::
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conda update astropy
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Please report any issues, or request new features via our GitHub
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repository:
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     https://github.com/astropy/astropy/issues
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Over 80 developers have contributed code to Astropy so far, and you can
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find out more about the team behind Astropy here:
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     http://www.astropy.org/team.html
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If you use Astropy directly - or as a dependency to another package -
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for your work, please remember to include the following acknowledgment
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at the end of papers:
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This research made use of Astropy, a community-developed core Python
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package for Astronomy (Astropy Collaboration, 2013).
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where (Astropy Collaboration, 2013) is a citation to the `Astropy
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Paper <https://doi.org/10.1051/0004-6361/201322068>`__
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(`ADS <http://adsabs.harvard.edu/abs/2013A%26A...558A..33A>`__ -
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`BibTeX <http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2013A%26A...558A..33A&data_type=BIBTEX&db_key=AST&nocookieset=1>`__).
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Please feel free to forward this announcement to anyone you think might
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be interested in this release.
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We hope that you enjoy using Astropy as much as we enjoyed developing
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it!
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| Thomas Robitaille, Erik Tollerud, and Perry Greenfield
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| on behalf of The Astropy Collaboration

‎announcements/release-1.0.rst‎

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:orphan:
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Astropy v1.0 Released!
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======================
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Dear colleagues,
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We are very happy to announce the fourth major public release (v1.0) of
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the astropy package, a core Python package for Astronomy:
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http://www.astropy.org
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Astropy is a community-driven Python package intended to contain much of
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the core functionality and common tools needed for astronomy and
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astrophysics.
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New and improved major functionality in this release includes:
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- Support for Altitude/Azimuth and Galactocentric coordinates in
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astropy.coordinates
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- A new astropy.visualization sub-package
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- A new astropy.analytic_functions sub-package
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- Compound models in astropy.modeling may now be created using
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arithmetic expressions, and the resulting models support fitting.
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- Significantly faster C-based readers/writers for astropy.io.ascii
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- Support for a new enhanced CSV ASCII table format
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- A refactored Table class with improved performance when
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adding/removing columns
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- Support for using Time, Quantity, or SkyCoord arrays as Table columns
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In addition, hundreds of smaller improvements and fixes have been made.
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An overview of the changes is provided at:
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     https://docs.astropy.org/en/stable/whatsnew/1.0.html
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Astropy v1.0 is a special release that we are denoting a *Long Term
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Support* (LTS) release, which means that we will be supporting it with
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bug fixes for the next two years, rather than the usual six months. More
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information about this can be found at the link above.
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Instructions for installing Astropy are provided on our
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`website <http://www.astropy.org>`__, and extensive documentation can be
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found at:
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     https://docs.astropy.org
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In particular, if you use the `Anaconda Python
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Distribution <https://store.continuum.io/cshop/anaconda/>`__, you can
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update to v1.0 with:
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::
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conda update astropy
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Whereas if you usually use pip, you can do:
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::
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pip install astropy --upgrade
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Please report any issues, or request new features via our GitHub
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repository:
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     https://github.com/astropy/astropy/issues
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Over 122 developers have contributed code to Astropy so far, and you can
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find out more about the team behind Astropy here:
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     http://www.astropy.org/team.html
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If you use Astropy directly for your work, or as a dependency to another
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package, please remember to include the following acknowledgment at the
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end of papers:
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This research made use of Astropy, a community-developed core Python
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package for Astronomy (Astropy Collaboration, 2013).
77+
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where (Astropy Collaboration, 2013) is a citation to the `Astropy
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Paper <https://doi.org/10.1051/0004-6361/201322068>`__
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(`ADS <http://adsabs.harvard.edu/abs/2013A%26A...558A..33A>`__ -
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`BibTeX <http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2013A%26A...558A..33A&data_type=BIBTEX&db_key=AST&nocookieset=1>`__).
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Please feel free to forward this announcement to anyone you think might
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be interested in this release.
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We hope that you enjoy using Astropy as much as we enjoyed developing
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it!
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| Thomas Robitaille, Erik Tollerud, and Perry Greenfield
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| on behalf of The Astropy Collaboration

‎announcements/release-1.1.rst‎

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Astropy v1.1 Released!
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======================
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Dear colleagues,
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We are very happy to announce the v1.1 release of the Astropy package, a
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core Python package for Astronomy:
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.. rst-class:: announce-logo
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.. container::
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.. image:: /_static/img/astropy_logo_notext.png
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:width: 100px
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http://www.astropy.org
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Astropy is a community-driven Python package intended to contain much of
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the core functionality and common tools needed for astronomy and
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astrophysics.
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New and improved major functionality in this release includes:
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- New functions to automatically determine histogram bins, including the
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Bayesian blocks algorithm
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- A new interface to transform between Table objects and pandas
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DataFrame objects
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- Support for table indexing
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- Support for supergalactic and ecliptic coordinates
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- A new .info attribute to get summary information about tables and
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columns
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- A new show_in_notebook() method to show a table in Jupyter/IPython
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notebooks with additional interactivity features
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- Support for new units, including logarithmic units such as magnitudes,
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dex, and decibels
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- Support for the Planck 2015 cosmology and significant performance
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improvements in the cosmology sub-package
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In addition, hundreds of smaller improvements and fixes have been made.
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An overview of the changes is provided at:
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     https://docs.astropy.org/en/stable/whatsnew/1.1.html
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Instructions for installing Astropy are provided on our
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`website <http://www.astropy.org>`__, and extensive documentation can be
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found at:
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     https://docs.astropy.org
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If you make use of the `Anaconda Python
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Distribution <https://www.continuum.io/downloads>`__, you can update to
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Astropy v1.1 with:
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::
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conda update astropy
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Whereas if you usually use pip, you can do:
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::
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pip install astropy --upgrade
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Please report any issues, or request new features via our GitHub
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repository:
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     https://github.com/astropy/astropy/issues
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Over 160 developers have contributed code to Astropy so far, and you can
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find out more about the team behind Astropy here:
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     http://www.astropy.org/team.html
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As a reminder, Astropy v1.0 (our long term support release) will
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continue to be supported with bug fixes until Feb 19th 2017, so if you
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need to use Astropy in a very stable environment, you may want to
78+
consider staying on the v1.0.x set of releases rather than upgrading to
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v1.1.
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If you use Astropy directly for your work, or as a dependency to another
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package, please remember to include the following acknowledgment at the
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end of papers:
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This research made use of Astropy, a community-developed core Python
86+
package for Astronomy (Astropy Collaboration, 2013).
87+
88+
where (Astropy Collaboration, 2013) is a citation to the `Astropy
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Paper <https://doi.org/10.1051/0004-6361/201322068>`__
90+
(`ADS <http://adsabs.harvard.edu/abs/2013A%26A...558A..33A>`__ -
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`BibTeX <http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2013A%26A...558A..33A&data_type=BIBTEX&db_key=AST&nocookieset=1>`__).
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Please feel free to forward this announcement to anyone you think might
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be interested in this release.
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We hope that you enjoy using Astropy as much as we enjoyed developing
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it!
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| Thomas Robitaille, Erik Tollerud, and Perry Greenfield
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| on behalf of The Astropy Collaboration

‎announcements/release-1.2.rst‎

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:orphan:
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Astropy v1.2 Released!
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======================
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Dear colleagues,
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We are very happy to announce the v1.2 release of the Astropy package, a
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core Python package for Astronomy:
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.. rst-class:: announce-logo
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.. container::
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.. image:: /_static/img/astropy_logo_notext.png
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:width: 100px
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http://www.astropy.org
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Astropy is a community-driven Python package intended to contain much of
20+
the core functionality and common tools needed for astronomy and
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astrophysics.
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New and improved major functionality in this release includes:
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- A new class to compute Lomb-Scargle periodograms efficiently using
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different methods.
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- A number of new statistics functions including those for Jackknife
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resampling, circular statistics, and the Akaike and Bayesian
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information criteria.
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- Support for getting the positions of solar system bodies in the
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coordinates sub-package.
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- The ability to compute Barycentric and Heliocentric light-travel time
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corrections.
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- Support for offset coordinate frames, which can be used to define a
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coordinate system relative to a known position and rotation.
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- An implementation of the zscale algorithm to determine image limits
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automatically.
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- Support for bolometric magnitudes in the units package.
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- Improvements to the NDData class and subclasses.
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- Auto-downloading of IERS tables as needed, which gives information
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about Earth orientation parameters necessary for high precision
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coordinate calculations and conversions to/from the UT1 scale.
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In addition, hundreds of smaller improvements and fixes have been made.
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An overview of the changes is provided at:
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     https://docs.astropy.org/en/stable/whatsnew/1.2.html
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Instructions for installing Astropy are provided on our
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`website <http://www.astropy.org>`__, and extensive documentation can be
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found at:
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     https://docs.astropy.org
54+
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If you make use of the `Anaconda Python
56+
Distribution <https://www.continuum.io/downloads>`__, you can update to
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Astropy v1.2 with:
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59+
::
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conda update astropy
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Whereas if you usually use pip, you can do:
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::
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pip install astropy --upgrade
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Note that if you install now you should get Astropy v1.2.1, as some
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last-minute bug fixes were found and fixed after the v1.2 release was
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created but before this announcement.
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Please report any issues, or request new features via our GitHub
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repository:
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     https://github.com/astropy/astropy/issues
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Over 190 developers have contributed code to Astropy so far, and you can
79+
find out more about the team behind Astropy here:
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     http://www.astropy.org/team.html
82+
83+
As a reminder, Astropy v1.0 (our long term support release) will
84+
continue to be supported with bug fixes until Feb 19th 2017, so if you
85+
need to use Astropy in a very stable environment, you may want to
86+
consider staying on the v1.0.x set of releases (for which we have
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recently released v1.0.10).
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If you use Astropy directly for your work, or as a dependency to another
90+
package, please remember to include the following acknowledgment at the
91+
end of papers:
92+
93+
This research made use of Astropy, a community-developed core Python
94+
package for Astronomy (Astropy Collaboration, 2013).
95+
96+
where (Astropy Collaboration, 2013) is a citation to the `Astropy
97+
Paper <https://doi.org/10.1051/0004-6361/201322068>`__
98+
(`ADS <http://adsabs.harvard.edu/abs/2013A%26A...558A..33A>`__ -
99+
`BibTeX <http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2013A%26A...558A..33A&data_type=BIBTEX&db_key=AST&nocookieset=1>`__).
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Please feel free to forward this announcement to anyone you think might
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be interested in this release.
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We hope that you enjoy using Astropy as much as we enjoyed developing
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it!
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| Erik Tollerud, Tom Robitaille, Kelle Cruz, and Tom Aldcroft
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| on behalf of The Astropy Collaboration

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