[Numpy-discussion] ANN: Pandas 0.14.0 released

[Jeff Reback]

Hello,

We are proud to announce v0.14.0 of pandas, a major release from 0.13.1.

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 4 months of work with 1014 commits by 121 authors encompassing 757
issues.

We recommend that all users upgrade to this version.

*Highlights:*

   -   Officially support Python 3.4
   -   SQL interfaces updated to use sqlalchemy
   -   Display interface changes
   -   MultiIndexing Using Slicers
   -   Ability to join a singly-indexed DataFrame with a multi-indexed
   DataFrame
   -   More consistency in groupby results and more flexible groupby
   specifications
   -   Holiday calendars are now supported in CustomBusinessDay
   -   Several improvements in plotting functions, including: hexbin, area
   and pie plots
   -   Performance doc section on I/O operations

See a full description of Whatsnew for v0.14.0 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 0.14.0 release

   - Acanthostega
   - Adam Marcus
   - agijsberts
   - akittredge
   - Alex Gaudio
   - Alex Rothberg
   - AllenDowney
   - Andrew Rosenfeld
   - Andy Hayden
   - ankostis
   - anomrake
   - Antoine Mazières
   - anton-d
   - bashtage
   - Benedikt Sauer
   - benjamin
   - Brad Buran
   - bwignall
   - cgohlke
   - chebee7i
   - Christopher Whelan
   - Clark Fitzgerald
   - clham
   - Dale Jung
   - Dan Allan
   - Dan Birken
   - danielballan
   - Daniel Waeber
   - David Jung
   - David Stephens
   - Douglas McNeil
   - DSM
   - Garrett Drapala
   - Gouthaman Balaraman
   - Guillaume Poulin
   - hshimizu77
   - hugo
   - immerrr
   - ischwabacher
   - Jacob Howard
   - Jacob Schaer
   - jaimefrio
   - Jason Sexauer
   - Jeff Reback
   - Jeffrey Starr
   - Jeff Tratner
   - John David Reaver
   - John McNamara
   - John W. O'Brien
   - Jonathan Chambers
   - Joris Van den Bossche
   - jreback
   - jsexauer
   - Julia Evans
   - Júlio
   - Katie Atkinson
   - kdiether
   - Kelsey Jordahl
   - Kevin Sheppard
   - K.-Michael Aye
   - Matthias Kuhn
   - Matt Wittmann
   - Max Grender-Jones
   - Michael E. Gruen
   - michaelws
   - mikebailey
   - Mike Kelly
   - Nipun Batra
   - Noah Spies
   - ojdo
   - onesandzeroes
   - Patrick O'Keeffe
   - phaebz
   - Phillip Cloud
   - Pietro Battiston
   - PKEuS
   - Randy Carnevale
   - ribonoous
   - Robert Gibboni
   - rockg
   - sinhrks
   - Skipper Seabold
   - SplashDance
   - Stephan Hoyer
   - Tim Cera
   - Tobias Brandt
   - Todd Jennings
   - TomAugspurger
   - Tom Augspurger
   - unutbu
   - westurner
   - Yaroslav Halchenko
   - y-p
   - zach powers
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20140530/02f088ef/attachment.html>