[IPython-dev] [ANN] IPython 0.13 is officially out!
Sat Jun 30 11:57:28 CDT 2012
On Sat, Jun 30, 2012 at 1:55 AM, Fernando Perez <email@example.com> wrote:
> Hi all,
> on behalf of the IPython development team, and just in time for the
> imminent Debian freeze and SciPy 2012, I'm thrilled to announce, after
> an intense 6 months of work, the official release of IPython 0.13.
> This version contains several major new features, as well as a large
> amount of bug and regression fixes. The previous version (0.12) was
> released on December 19 2011, so in this development cycle we had:
> - ~6 months of work.
> - 373 pull requests merged.
> - 742 issues closed (non-pull requests).
> - contributions from 62 authors.
> - 1760 commits.
> - a diff of 114226 lines.
> This means that we closed a total of 1115 issues over 6 months, for a
> rate of almost 200 issues closed per month and almost 300 commits per
> month. We are very grateful to all of you who have contributed so
> enthusiastically to the project and have had the patience of pushing
> your contributions through our often lengthy review process.
> We've also welcomed several new members to the core IPython
> development group: Jörgen Stenarson (@jstenar - this really was an
> omission as Jörgen has been our Windows expert for a long time) and
> Matthias Bussonier (@Carreau), who has been very active on all fronts
> of the project.
> There is too much new work to write up here, so we refer you to our
> full What's New document
> for the full details. But the main highlights of this release are:
> * Brand new UI for the notebook, with major usability improvements
> (real menus, toolbar, and much more)
> * Manage all your parallel cluster configurations from the notebook
> with push-button simplicity (cluster start/stop with one button).
> * Cell magics: commands prefixed with %% apply to an entire cell. We
> ship with many cell magics by default, including timing, profiling,
> running cells under bash, Perl and Ruby as well as magics to interface
> seamlessly with Cython, R and Octave.
> * The IPython.parallel tools have received many fixes, optimizations,
> and a number of API improvements to make writing, profiling and
> debugging parallel codes with IPython much easier.
> * We have unified our interactive kernels (the basic ipython object
> you know and love) with the engines running in parallel, so that you
> can now use all IPython special tricks in parallel too. And you can
> connect a console or qtconsole to any parallel engine for direct,
> interactive execution, plotting and debugging in a cluster.
Congratulations to all. It has been a real inspiration to watch y'all
work together, and it's a great achievement.
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