[Numpy-discussion] ANN: pandas v0.17.1 Released

[Brad Reisfeld]

To Jeff and all of the contributors, 
Thank you for your hard and dedicated work on pandas! It is an awesome 
package that gets better with every release.

-Brad

On Saturday, November 21, 2015 at 6:44:02 AM UTC-7, Jeff wrote:
>
> Hi,
>
> We are proud to announce that *pandas* has become a sponsored project of 
> the NUMFocus organization 
> <http://numfocus.org/news/2015/10/09/numfocus-announces-new-fiscally-sponsored-project-pandas/>
>  - private 
> <http://numfocus.org/news/2015/10/09/numfocus-announces-new-fiscally-sponsored-project-pandas/>
> This will help ensure the success of development of *pandas* as a 
> world-class open-source project.
>
> This is a minor bug-fix release from 0.17.0 and includes a large number of
> bug fixes along several new features, enhancements, and performance 
> improvements.
> We recommend that all users upgrade to this version.
>
> This was a release of 5 weeks with 176 commits by 61 authors encompassing 
> 84 issues and 128 pull-requests.
>
>
> *What is it:*
>
> *pandas* is a Python package providing fast, flexible, and expressive data
> structures designed to make working with “relational” or “labeled” data 
> both
> easy and intuitive. It aims to be the fundamental high-level building 
> block for
> doing practical, real world data analysis in Python. Additionally, it has 
> the
> broader goal of becoming the most powerful and flexible open source data
> analysis / manipulation tool available in any language.
>
> *Highlights*:
>
>
>    - Support for Conditional HTML Formatting, see here 
>    <http://pandas.pydata.org/pandas-docs/version/0.17.1/whatsnew.html#whatsnew-style>
>     - private 
>    <http://pandas.pydata.org/pandas-docs/version/0.17.1/whatsnew.html#whatsnew-style>
>    - Releasing the GIL on the csv reader & other ops, see here 
>    <http://pandas.pydata.org/pandas-docs/version/0.17.1/whatsnew.html#whatsnew-performance>
>     - private 
>    <http://pandas.pydata.org/pandas-docs/version/0.17.1/whatsnew.html#whatsnew-performance>
>    - Fixed regression in DataFrame.drop_duplicates from 0.16.2, causing 
>    incorrect results on integer values see Issue 11376
>
>
> See the Whatsnew 
> <http://pandas.pydata.org/pandas-docs/version/0.17.1/whatsnew.html> - 
> private 
> <http://pandas.pydata.org/pandas-docs/version/0.17.1/whatsnew.html> for 
> much more information and the full Documentation 
> <http://pandas.pydata.org/pandas-docs/stable/> - private 
> <http://pandas.pydata.org/pandas-docs/stable/> link.
>
> *How to get it:*
>
> Source tarballs, windows wheels, and macosx wheels are available on PyPI 
> <https://pypi.python.org/pypi/pandas> - private 
> <https://pypi.python.org/pypi/pandas>
>
> Installation via conda is:
>
>    - conda install pandas
>
> windows wheels are courtesy of  Christoph Gohlke and are built on Numpy 
> 1.9
> macosx wheels are courtesy of Matthew Brett
>
> *Issues:*
>
> Please report any issues on our issue tracker 
> <https://github.com/pydata/pandas/issues> - private 
> <https://github.com/pydata/pandas/issues>:
>
> Jeff
>
> *Thanks to all of the contributors*
>
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> * - Aleksandr Drozd - Alex Chase - Anthonios Partheniou - BrenBarn - Brian 
> J. McGuirk - Chris - Christian Berendt - Christian Perez - Cody Piersall - 
> Data & Code Expert Experimenting with Code on Data - DrIrv - Evan Wright - 
> Guillaume Gay - Hamed Saljooghinejad - Iblis Lin - Jake VanderPlas - Jan 
> Schulz - Jean-Mathieu Deschenes - Jeff Reback - Jimmy Callin - Joris Van 
> den Bossche - K.-Michael Aye - Ka Wo Chen - Loïc Séguin-C - Luo Yicheng - 
> Magnus Jöud - Manuel Leonhardt - Matthew Gilbert - Maximilian Roos - 
> Michael - Nicholas Stahl - Nicolas Bonnotte - Pastafarianist - Petra Chong 
> - Phil Schaf - Philipp A - Rob deCarvalho - Roman Khomenko - Rémy Léone - 
> Sebastian Bank - Thierry Moisan - Tom Augspurger - Tux1 - Varun - Wieland 
> Hoffmann - Winterflower - Yoav Ram - Younggun Kim - Zeke - ajcr - azuranski 
> - behzad nouri - cel4 - emilydolson - hironow - lexual - llllllllll - rockg 
> - silentquasar - sinhrks - taeold *
>
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>    
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