<div dir="ltr">How does the build trigger? If its just a matter of clicking on something when released. I think we can handle that :)<br><br>On Saturday, May 17, 2014 7:22:00 AM UTC-4, Jeff wrote:<blockquote class="gmail_quote" style="margin: 0;margin-left: 0.8ex;border-left: 1px #ccc solid;padding-left: 1ex;"><div dir="ltr"><font face="verdana, sans-serif" style="font-size:13px">Hi,<br><br>I'm pleased to announce the availability of the first release candidate of Pandas 0.14.0.<br>Please try this RC and report any issues here: <a href="https://github.com/pydata/pandas/issues" target="_blank" onmousedown="this.href='https://www.google.com/url?q\75https%3A%2F%2Fgithub.com%2Fpydata%2Fpandas%2Fissues\46sa\75D\46sntz\0751\46usg\75AFQjCNG9GduU-kuQdkXVX_tVN-IBaEtKRQ';return true;" onclick="this.href='https://www.google.com/url?q\75https%3A%2F%2Fgithub.com%2Fpydata%2Fpandas%2Fissues\46sa\75D\46sntz\0751\46usg\75AFQjCNG9GduU-kuQdkXVX_tVN-IBaEtKRQ';return true;">Pandas Issues</a><br>
We will be releasing officially in about 2 weeks or so.<br><br>This is a major release from 0.13.1 and includes a small number of API changes, several new features, enhancements, and <br>performance improvements along with a large number of bug fixes. <br>
<br>Highlights include:<br><ul><li style="margin-left:15px">Officially support Python 3.4<br></li><li style="margin-left:15px">SQL interfaces updated to use sqlalchemy,<br></li><li style="margin-left:15px">Display interface changes<br>
</li><li style="margin-left:15px">MultiIndexing Using Slicers<br></li><li style="margin-left:15px">Ability to join a singly-indexed DataFrame with a multi-indexed DataFrame<br></li><li style="margin-left:15px">More consistency in groupby results and more flexible groupby specifications<br>
</li><li style="margin-left:15px">Holiday calendars are now supported in CustomBusinessDay<br></li><li style="margin-left:15px">Several improvements in plotting functions, including: hexbin, area and pie plots.<br></li><li style="margin-left:15px">
Performance doc section on I/O operations<br></li></ul></font><span style="font-size:13px;font-family:verdana,sans-serif">Since there are some significant changes in the default way DataFrames are displayed. I have put</span><div style="font-family:arial,sans-serif;font-size:13px">
<span style="font-family:verdana,sans-serif">up a comment issue looking for some feedback <a href="https://github.com/pydata/pandas/issues/7146" target="_blank" onmousedown="this.href='https://www.google.com/url?q\75https%3A%2F%2Fgithub.com%2Fpydata%2Fpandas%2Fissues%2F7146\46sa\75D\46sntz\0751\46usg\75AFQjCNFzYTsGuX7T7z0ytV52uARTUMjaoA';return true;" onclick="this.href='https://www.google.com/url?q\75https%3A%2F%2Fgithub.com%2Fpydata%2Fpandas%2Fissues%2F7146\46sa\75D\46sntz\0751\46usg\75AFQjCNFzYTsGuX7T7z0ytV52uARTUMjaoA';return true;">here</a></span><br style="font-family:verdana,sans-serif"><br style="font-family:verdana,sans-serif">
<font face="verdana, sans-serif">Here are the full whatsnew and documentation links:<br><br><a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html" target="_blank" onmousedown="this.href='http://www.google.com/url?q\75http%3A%2F%2Fpandas-docs.github.io%2Fpandas-docs-travis%2Fwhatsnew.html\46sa\75D\46sntz\0751\46usg\75AFQjCNF4aDX6TElC-dHnr6ZNl7UcNttNSg';return true;" onclick="this.href='http://www.google.com/url?q\75http%3A%2F%2Fpandas-docs.github.io%2Fpandas-docs-travis%2Fwhatsnew.html\46sa\75D\46sntz\0751\46usg\75AFQjCNF4aDX6TElC-dHnr6ZNl7UcNttNSg';return true;">v0.14.0 Whatsnew</a><br><br><a href="http://pandas-docs.github.io/pandas-docs-travis/" target="_blank" onmousedown="this.href='http://www.google.com/url?q\75http%3A%2F%2Fpandas-docs.github.io%2Fpandas-docs-travis%2F\46sa\75D\46sntz\0751\46usg\75AFQjCNEsP8mYjy0S2hG7BmsOHfp17dw1xw';return true;" onclick="this.href='http://www.google.com/url?q\75http%3A%2F%2Fpandas-docs.github.io%2Fpandas-docs-travis%2F\46sa\75D\46sntz\0751\46usg\75AFQjCNEsP8mYjy0S2hG7BmsOHfp17dw1xw';return true;">v0.14.0 Documentation Page</a><br>
<br>Source tarballs, and windows builds are available here:<br><br><a href="https://github.com/pydata/pandas/releases" target="_blank" onmousedown="this.href='https://www.google.com/url?q\75https%3A%2F%2Fgithub.com%2Fpydata%2Fpandas%2Freleases\46sa\75D\46sntz\0751\46usg\75AFQjCNFfq6HctLDU-UDuZxZ1HzgG_a5OvA';return true;" onclick="this.href='https://www.google.com/url?q\75https%3A%2F%2Fgithub.com%2Fpydata%2Fpandas%2Freleases\46sa\75D\46sntz\0751\46usg\75AFQjCNFfq6HctLDU-UDuZxZ1HzgG_a5OvA';return true;">Pandas v0.14rc1 Release</a><br><br>A big thank you to everyone who contributed to this release!<span><font color="#888888"><br>
<br>Jeff</font></span></font></div></div>
</blockquote></div>