Groups > comp.lang.python.announce > #1443

ANN: Pandas 0.15.0 released

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Date	Sun, 19 Oct 2014 17:34:43 -0400
Subject	ANN: Pandas 0.15.0 released
From	Jeff Reback <jeffreback@gmail.com>
To	Jeff Reback <jeffreback@gmail.com>, "pydata@googlegroups.com" <pydata@googlegroups.com>, "numpy-discussion@scipy.org" <numpy-discussion@scipy.org>, python-announce-list@python.org, scipy-user@scipy.org, "pandas-dev@python.org" <pandas-dev@python.org>
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Hello,

We are proud to announce v0.15.0 of pandas, a major release from 0.14.1.

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 420 commits by 79 authors encompassing 236
issues.

We recommend that all users upgrade to this version.

*Highlights:*

   - Drop support for numpy < 1.7.0
   - The Categorical type was integrated as a first-class pandas type
   - New scalar type Timedelta, and a new index type TimedeltaIndex
   - New DataFrame default display for df.info() to include memory usage
   - New datetimelike properties accessor .dt for Series
   - Split indexing documentation into Indexing and Selecting Data and
   MultiIndex / Advanced Indexing
   - Split out string methods documentation into Working with Text Data
   - read_csv will now by default ignore blank lines when parsing
   - API change in using Indexes in set operations
   - Internal refactoring of the Index class to no longer sub-class ndarray
   - dropping support for PyTables less than version 3.0.0, and numexpr
   less than version 2.1

See a full description of Whatsnew for v0.15.0 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 are courtesy of Matthew Brett and are built on Numpy 1.7.1

Please report any issues here:
https://github.com/pydata/pandas/issues


Thanks

The Pandas Development Team


Contributors to the 0.15.0 release

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ANN: Pandas 0.15.0 released Jeff Reback <jeffreback@gmail.com> - 2014-10-19 17:34 -0400

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