ANN: pandas 0.12 released!

[Wes McKinney]

hi all,

We've released pandas 0.12.0, a big release that span 3 months of continuous
development, led by the usual superstar crew of hackers and welcoming Phillip
Cloud to the core dev team. The release brings many new features, performance
and API improvements, bug fixes, and other goodies.

Some highlights:

- Integrated JSON reading and writing with the read_json functions and methods
like DataFrame.to_json.
- New HTML table reading function read_html which will use either lxml or
BeautifulSoup under the hood.
- Support for reading and writing STATA format files.

Source archives and Windows installers are on PyPI. Thanks to all who
contributed to this release, especially Jeff (jreback), Phillip (cpcloud), and
y-p.

What's new: http://pandas.pydata.org/pandas-docs/stable/whatsnew.html
Installers: http://pypi.python.org/pypi/pandas

$ git log v0.11.0..master --pretty=%aN | sort | uniq -c | sort -rn
377 jreback
195 Phillip Cloud
103 y-p
54 Andy Hayden
36 Jeffrey Tratner
20 Wes McKinney
19 Skipper Seabold
14 Gábor Lipták
7 PKEuS
7 nipunreddevil
7 Kieran O'Mahony
6 Joris Van den Bossche
4 TomAugspurger
4 Tobias Brandt
4 Mike Kelly
4 gliptak
4 Dan Birken
4 Chang She
3 Richard Höchenberger
3 Patrick O'Brien
3 ogiaquino
3 Kevin Stone
3 duozhang
3 Dan Allan
3 Damien Garaud
2 Yaroslav Halchenko
2 Wouter Overmeire
2 tim smith
2 stonebig
2 SleepingPills
2 Karmel Allison
2 Jonathan deWerd
2 Jeff Tratner
2 Jeff Mellen
2 Dieter Vandenbussche
2 dieterv77
2 davidshinn
1 Trent Hauck
1 Tom Farnbauer
1 timmie
1 lexual
1 Kyle Meyer
1 Kelsey Jordahl
1 Juraj Niznan
1 jniznan
1 ejnens
1 Dražen Lučanin
1 danielballan
1 conmai
1 Christopher Whelan

Happy data hacking!

- Wes

What is it
==========
pandas is a Python package providing fast, flexible, and
expressive data structures designed to make working with
relational, time series, or any other kind of 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.

Links
=====
Release Notes: http://github.com/pydata/pandas/blob/master/RELEASE.md
Documentation: http://pandas.pydata.org
Installers: http://pypi.python.org/pypi/pandas
Code Repository: http://github.com/pydata/pandas
Mailing List: http://groups.google.com/group/pydata