Hello, We are proud to announce v0.14.1 of pandas, a minor release from 0.14.0.
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 1.5 months of work with 244 commits by 45 authors encompassing 306 issues. We recommend that all users upgrade to this version. *Highlights:* - New method select_dtypes() <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.select_dtypes.html#pandas.DataFrame.select_dtypes> to select columns based on the dtype - New method sem() <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sem.html#pandas.Series.sem> to calculate the standard error of the mean. - Support for dateutil timezones (see *docs* <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#timeseries-timezone> ). - Support for ignoring full line comments in the read_csv() <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html#pandas.read_csv>text parser. - New documentation section on *Options and Settings* <http://pandas.pydata.org/pandas-docs/stable/options.html#options>. - Lots of bug fixes For a more a full description of Whatsnew for v0.14.1 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 0.14.1 release - Andrew Rosenfeld - Andy Hayden - Benjamin Adams - Benjamin M. Gross - Brian Quistorff - Brian Wignall - bwignall - clham - Daniel Waeber - David Bew - David Stephens - DSM - dsm054 - helger - immerrr - Jacob Schaer - jaimefrio - Jan Schulz - John David Reaver - John W. O’Brien - Joris Van den Bossche - jreback - Julien Danjou - Kevin Sheppard - K.-Michael Aye - Kyle Meyer - lexual - Matthew Brett - Matt Wittmann - Michael Mueller - Mortada Mehyar - onesandzeroes - Phillip Cloud - Rob Levy - rockg - sanguineturtle - Schaer, Jacob C - seth-p - sinhrks - Stephan Hoyer - Thomas Kluyver - Todd Jennings - TomAugspurger - unknown - yelite
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