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-...> - 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-...> - 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-...> - 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