Hello, We are proud to announce v0.15.1 of pandas, a minor release from 0.15.0.
This release includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. This was a short release of 3 weeks with 59 commits by 20 authors encompassing 87 issues. We recommend that all users upgrade to this version. For a more a full description of Whatsnew for v0.15.1 here: http://pandas.pydata.org/pandas-docs/stable/whatsnew.html *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. Documentation: http://pandas.pydata.org/pandas-docs/stable/ Source tarballs, windows binaries are available on PyPI: https://pypi.python.org/pypi/pandas windows binaries are courtesy of Christoph Gohlke and are built on Numpy 1.8 macosx wheels will be available soon, courtesy of Matthew Brett Please report any issues here: https://github.com/pydata/pandas/issues Thanks The Pandas Development Team Contributors to the 0.15.1 release - - Aaron Staple - Andrew Rosenfeld - Anton I. Sipos - Artemy Kolchinsky - Bill Letson - Dave Hughes - David Stephens - Guillaume Horel - Jeff Reback - Joris Van den Bossche - Kevin Sheppard - Nick Stahl - Sanghee Kim - Stephan Hoyer - TomAugspurger - WANG Aiyong - behzad nouri - immerrr - jnmclarty - jreback - pallav-fdsi - unutbu -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
