[Numpy-discussion] ANN: pandas v0.15.2

Jeff Reback jeffreback at gmail.com
Fri Dec 12 08:43:33 EST 2014


We are proud to announce v0.15.2 of pandas, a minor release from 0.15.1.

This release includes a small number of API changes, several new features,
enhancements, and performance improvements along with a large number of bug

This was a short release of 4 weeks with 137 commits by 49 authors
encompassing 75 issues.

We recommend that all users upgrade to this version.

For a more full description of Whatsnew for v0.15.2, see here:

*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.


Source tarballs, windows binaries are available on PyPI:

windows binaries are courtesy of  Christoph Gohlke and are built on Numpy
macosx wheels are courtesy of Matthew Brett

Please report any issues here:


The Pandas Development Team

Contributors to the 0.15.2 release

   - Aaron Staple
   - Angelos Evripiotis
   - Artemy Kolchinsky
   - Benoit Pointet
   - Brian Jacobowski
   - Charalampos Papaloizou
   - Chris Warth
   - David Stephens
   - Fabio Zanini
   - Francesc Via
   - Henry Kleynhans
   - Jake VanderPlas
   - Jan Schulz
   - Jeff Reback
   - Jeff Tratner
   - Joris Van den Bossche
   - Kevin Sheppard
   - Matt Suggit
   - Matthew Brett
   - Phillip Cloud
   - Rupert Thompson
   - Scott E Lasley
   - Stephan Hoyer
   - Stephen Simmons
   - Sylvain Corlay
   - Thomas Grainger
   - Tiago Antao
   - Trent Hauck
   - Victor Chaves
   - Victor Salgado
   - Vikram Bhandoh
   - WANG Aiyong
   - Will Holmgren
   - behzad nouri
   - broessli
   - charalampos papaloizou
   - immerrr
   - jnmclarty
   - jreback
   - mgilbert
   - onesandzeroes
   - peadarcoyle
   - rockg
   - seth-p
   - sinhrks
   - unutbu
   - wavedatalab
   - Åsmund Hjulstad
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