[Numpy-discussion] ANN: pandas 0.11.0 released!

[Wes McKinney]

hi all,

We've released pandas 0.11.0, a big release that span 3 months of
continuous development, led primarily by the intrepid Jeff Reback
and y-p. The release brings many new features, performance and
API improvements, bug fixes, and other goodies.

Some highlights:

- New precision indexing fields loc, iloc, at, and iat, to reduce
  occasional ambiguity in the catch-all hitherto ix method.
- Expanded support for NumPy data types in DataFrame
- NumExpr integration to accelerate various operator evaluation
- New Cookbook and 10 minutes to pandas pages in the documentation by
Jeff Reback
- Improved DataFrame to CSV exporting performance
- Experimental "rplot" branch with faceted plots with matplotlib
  merged and open for community hacking

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

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

$ git log v0.10.1..v0.11.0 --pretty=format:%aN | sort | uniq -c | sort -rn
    308 y-p
    279 jreback
     85 Vytautas Jancauskas
     74 Wes McKinney
     25 Stephen Lin
     22 Andy Hayden
     19 Chang She
     13 Wouter Overmeire
      8 Spencer Lyon
      6 Phillip Cloud
      6 Nicholaus E. Halecky
      5 Thierry Moisan
      5 Skipper Seabold
      4 waitingkuo
      4 Loïc Estève
      4 Jeff Reback
      4 Garrett Drapala
      4 Alvaro Tejero-Cantero
      3 lexual
      3 Dražen Lučanin
      3 dieterv77
      3 dengemann
      3 Dan Birken
      3 Adam Greenhall
      2 Will Furnass
      2 Vytautas Jančauskas
      2 Robert Gieseke
      2 Peter Prettenhofer
      2 Jonathan Chambers
      2 Dieter Vandenbussche
      2 Damien Garaud
      2 Christopher Whelan
      2 Chapman Siu
      2 Brad Buran
      1 vytas
      1 Tim Akinbo
      1 Thomas Kluyver
      1 thauck
      1 stephenwlin
      1 K.-Michael Aye
      1 Karmel Allison
      1 Jeremy Wagner
      1 James Casbon
      1 Illia Polosukhin
      1 Dražen Lučanin
      1 davidjameshumphreys
      1 Dan Davison
      1 Chris Withers
      1 Christian Geier
      1 anomrake

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.rst
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