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

Jeff Reback jeffreback at gmail.com
Sat Nov 21 08:43:52 EST 2015


We are proud to announce that *pandas* has become a sponsored project of
the NUMFocus organization
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
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
doing practical, real world data analysis in Python. Additionally, it has
broader goal of becoming the most powerful and flexible open source data
analysis / manipulation tool available in any language.


   - Support for Conditional HTML Formatting, see here
   - Releasing the GIL on the csv reader & other ops, see here
   - 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

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


Please report any issues on our issue tracker


*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 *
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