[Pandas-dev] [pydata] Pandas v0.16.0 release candidate 1

[Paul Hobson]

Thanks for the all the hard work! Really looking forward to using the
`assign` method in long chained statements.

-Paul

On Fri, Mar 13, 2015 at 8:33 AM, Jeff Reback <jeffreback at gmail.com> wrote:

> Hi,
>
> I'm pleased to announce the availability of the first release candidate of
> Pandas 0.16.0.
> Please try this RC and report any issues here: Pandas Issues
> <https://github.com/pydata/pandas/issues>
> We will be releasing officially in 1 week or so.
>
> This is a major release from 0.15.2 and includes a small number of API
> changes, several new features, enhancements, and performance improvements
> along with a large number of bug fixes. We recommend that all users upgrade
> to this version.
>
>    - Highlights include:
>       - DataFrame.assign method, see *here*
>       <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160-enhancements-assign>
>       - Series.to_coo/from_coo methods to interact with scipy.sparse, see
>       *here*
>       <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160-enhancements-sparse>
>       - Backwards incompatible change to Timedelta to conform the .seconds attribute
>       with datetime.timedelta, see *here*
>       <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160-api-breaking-timedelta>
>       - Changes to the .loc slicing API to conform with the behavior of
>       .ix see *here
>       <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#indexing-changes>*
>       - Changes to the default for ordering in the Categorical constructor,
>       see *here
>       <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160-api-breaking-categorical>*
>
>
> Here are the full whatsnew and documentation links:
> v0.16.0 Whatsnew
> <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html>
>
> Source tarballs, windows builds, and mac wheels are available here:
>
> Pandas v0.16.0rc1 Release <https://github.com/pydata/pandas/releases>
>
> A big thank you to everyone who contributed to this release!
>
> Jeff
>
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