[SciPy-User] ANN: pandas 0.7.3 release, upcoming time series work

Wes McKinney wesmckinn@gmail....
Thu Apr 12 12:55:35 CDT 2012


hi all,

I'm very pleased to announce the pandas 0.7.3 release. This is
primarily a bug fix release from 0.7.2, but also includes a
number of new features. The most noticeable ones are a number of
new plotting types and options.

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

pandas 0.8.0 will be the largest pandas release in some time. We
have been working intensely to expand its time series
capabilities and to incorporate code and features from
scikits.timeseries, thus enabling users to migrate their code to
pandas. From 0.8.0 onward, pandas will use NumPy's datetime64
dtype and thus require at least NumPy version 1.6.1. I am
extremely excited about this step forward, as pandas will be one
of the most featureful and highest performance tools for time
series data in any language. If this is of interest to you, tune
in to the timeseries branch on GitHub, which will soon be merged
into master. Targeting a mid-May release for 0.8.0, so the more
user feedback between now and then the better.

- 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
Blogs: http://blog.wesmckinney.com and http://blog.lambdafoundry.com


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