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/> 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> - 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> - 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> for much more information and the full Documentation <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> 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>: Jeff *Thanks to all of the contributors* * - 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 * -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/