> Hello, > > This is a minor release from 0.13.0 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: > > - Added infer_datetime_format keyword to read_csv/to_datetime to allow > speedups for homogeneously formatted datetimes. > - Will intelligently limit display precision for datetime/timedelta formats. > - Enhanced Panel apply() method. > - Suggested tutorials in new Tutorials section. > - Our pandas ecosystem is growing, We now feature related projects in a new > Pandas Ecosystem section. > - Much work has been taking place on improving the docs, and a new > Contributing section has been added. > > v0.13.1 Whatsnew Page > http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#v0-13-1-february-3-2014 > > v0.13.1 Documentation Page > http://pandas.pydata.org/pandas-docs/stable/ > > Pleas visit here for the source tarball: > https://github.com/pydata/pandas/releases/tag/v0.13.1 > > Windows binaries are available from Christoph Gohlke's collection: > http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas > > tarballs and windows binaries are available on PyPi: > https://pypi.python.org/pypi/pandas > > We are looking forward to a next planned release of v0.14.0 in about three > months time. > > Some things that we would like to include: > > - A big upgrade to SQL to/from interop with support for all major DBs, > leveraging SQLAlchemy. > - Template-based displays for dataframes, with conditional formatting and > roll-your-own output generation. > - Reduced memory dataframe construction from known-length iterators. > - Your PRs. > > Thanks > > The Pandas Team > > > Contributors to the 0.13.1 release > > $ git log v0.12.1..v0.13.1 --pretty='%aN##%s' | grep -v 'Merge pull' | grep > -Po '^[^#]+' | sort | uniq -c | sort -rn > > 146 y-p > 97 jreback > 14 Joris Van den Bossche > 8 Phillip Cloud > 8 Andy Hayden > 6 unutbu > 4 Skipper Seabold > 3 TomAugspurger > 3 Jeff Tratner > 3 DSM > 3 Douglas McNeil > 3 Dan Birken > 3 Chapman Siu > 2 Tom Augspurger > 2 Naveen Michaud-Agrawal > 2 Michael Schatzow > 2 Kieran O'Mahony > 2 Jacob Schaer > 2 Doran Deluz > 2 danielballan > 2 Clark Fitzgerald > 2 chapman siu > 2 Caleb Epstein > 2 Brad Buran > 2 Andrew Burrows > 2 Alex Rothberg > 1 Spencer Lyon > 1 Roman Pekar > 1 Patrick O'Keeffe > 1 mwaskom > 1 lexual > 1 Julia Evans > 1 John McNamara > 1 Jan Wagner > 1 immerrr > 1 Guillaume Gay > 1 George Kuan > 1 Felix Lawrence > 1 Elliot S > 1 Draen Luanin > 1 Douglas Rudd > 1 David Wolever > 1 davidshinn > 1 david > 1 Daniel Waeber > 1 Chase Albert > 1 bwignall > 1 bmu > 1 Bjorn Arneson > 1 Alok Singhal > 1 akittredge > 1 acorbe > > -- > You received this message because you are subscribed to the Google Groups > "PyData" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to pydata+unsubscr...@googlegroups.com. > For more options, visit https://groups.google.com/groups/opt_out. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion