From jeffreback at gmail.com Fri Sep 11 19:49:35 2015 From: jeffreback at gmail.com (Jeff Reback) Date: Fri, 11 Sep 2015 13:49:35 -0400 Subject: [Pandas-dev] ANN: pandas v0.17.0rc1 - RELEASE CANDIDATE Message-ID: Hi, I'm pleased to announce the availability of the first release candidate of Pandas 0.17.0. Please try this RC and report any issues here: Pandas Issues We will be releasing officially in 1-2 weeks or so. **RELEASE CANDIDATE 1** This is a major release from 0.16.2 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: - Release the Global Interpreter Lock (GIL) on some cython operations, see here - Plotting methods are now available as attributes of the .plot accessor, see here - The sorting API has been revamped to remove some long-time inconsistencies, see here - Support for a datetime64[ns] with timezones as a first-class dtype, see here - The default for to_datetime will now be to raise when presented with unparseable formats, previously this would return the original input, see here - The default for dropna in HDFStore has changed to False, to store by default all rows even if they are all NaN, see here - Support for Series.dt.strftime to generate formatted strings for datetime-likes, see here - Development installed versions of pandas will now have PEP440 compliant version strings GH9518 - Development support for benchmarking with the Air Speed Velocity library GH8316 - Support for reading SAS xport files, see here - Removal of the automatic TimeSeries broadcasting, deprecated since 0.8.0, see here See the Whatsnew for much more information. Best way to get this is to install via conda from our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7 and Python 3.4 are all available. conda install pandas -c pandas Thanks to all who made this release happen. It is a very large release! Jeff -------------- next part -------------- An HTML attachment was scrubbed... URL: From jd.corbin at pearson.com Mon Sep 14 15:01:37 2015 From: jd.corbin at pearson.com (J.D. Corbin) Date: Mon, 14 Sep 2015 19:01:37 -0000 Subject: [Pandas-dev] ANN: pandas v0.17.0rc1 - RELEASE CANDIDATE In-Reply-To: References: Message-ID: <62d3ffdc-4edc-43f4-8e2c-c630a0ce03d4@googlegroups.com> Is there anyway to find out if there were changes made to the google bigquery module? Specifically around supporting Python 3? Thanks, J On Friday, September 11, 2015 at 10:49:39 AM UTC-7, Jeff wrote: > > Hi, > > I'm pleased to announce the availability of the first release candidate of > Pandas 0.17.0. > Please try this RC and report any issues here: Pandas Issues > > We will be releasing officially in 1-2 weeks or so. > > **RELEASE CANDIDATE 1** > > This is a major release from 0.16.2 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: > > > - Release the Global Interpreter Lock (GIL) on some cython operations, > see here > > - Plotting methods are now available as attributes of the .plot > accessor, see here > > - The sorting API has been revamped to remove some long-time > inconsistencies, see here > > - Support for a datetime64[ns] with timezones as a first-class dtype, > see here > > - The default for to_datetime will now be to raise when presented with > unparseable formats, previously this would return the original input, see > here > > - The default for dropna in HDFStore has changed to False, to store by > default all rows even if they are all NaN, see here > > - Support for Series.dt.strftime to generate formatted strings for > datetime-likes, see here > > - Development installed versions of pandas will now have PEP440 > compliant version strings GH9518 > > - Development support for benchmarking with the Air Speed Velocity > library GH8316 > - Support for reading SAS xport files, see here > > - Removal of the automatic TimeSeries broadcasting, deprecated since > 0.8.0, see here > > > See the Whatsnew > for much > more information. > > Best way to get this is to install via conda > from > our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7 > and Python 3.4 are all available. > > conda install pandas -c pandas > > Thanks to all who made this release happen. It is a very large release! > > Jeff > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: