Re: [Pytables-users] ANN: PyTables 3.0 rc1

[Anthony S. <sc...@gm...>]

Thanks Antonio!

PyTables users, This is (hopefully) your last chance to bang on the code
base and let the developers know if there are any problems prior to full
v3.0 release.  Note that there have been many important changes even since
in the v3.0.0beta that came out about a week or two ago.

Be Well
Anthony


On Fri, May 10, 2013 at 2:44 PM, Antonio Valentino <
ant...@ti...> wrote:

> =============================
>   Announcing PyTables 3.0.0rc1
> =============================
>
> We are happy to announce PyTables 3.0.0rc1.
>
> PyTables 3.0.0rc1 comes after about 5 years from the last major release
> (2.0) and 7 months since the last stable release (2.4.0).
>
> This is new major release and an important milestone for the PyTables
> project
> since it provides the long waited support for Python 3.x, which has been
> around
> for 4 years.
>
> Almost all of the core numeric/scientific packages for Python already
> support
> Python 3 so we are very happy that now also PyTables can provide this
> important feature.
>
>
> What's new
> ==========
>
> A short summary of main new features:
>
> - Since this release, PyTables now provides full support to Python 3
> - The entire code base is now more compliant with coding style guidelines
>    described in PEP8.
> - Basic support for HDF5 drivers.  It now is possible to open/create an
>    HDF5 file using one of the SEC2, DIRECT, LOG, WINDOWS, STDIO or CORE
>    drivers.
> - Basic support for in-memory image files.  An HDF5 file can be set from or
>    copied into a memory buffer.
> - Implemented methods to get/set the user block size in a HDF5 file.
> - All read methods now have an optional *out* argument that allows to pass
> a
>    pre-allocated array to store data.
> - Added support for the floating point data types with extended precision
>    (Float96, Float128, Complex192 and Complex256).
> - Consistent ``create_xxx()`` signatures.  Now it is possible to create all
>    data sets Array, CArray, EArray, VLArray, and Table from existing Python
>    objects.
> - Complete rewrite of the `nodes.filenode` module. Now it is fully
>    compliant with the interfaces defined in the standard `io` module.
>    Only non-buffered binary I/O is supported currently.
>
> Please refer to the RELEASE_NOTES document for a more detailed list of
> changes in this release.
>
> As always, a large amount of bugs have been addressed and squashed as well.
>
> In case you want to know more in detail what has changed in this
> version, please refer to: http://pytables.github.io/release_notes.html
>
> You can download a source package with generated PDF and HTML docs, as
> well as binaries for Windows, from:
> http://sourceforge.net/projects/pytables/files/pytables/3.0.0rc1
>
> For an online version of the manual, visit:
> http://pytables.github.io/usersguide/index.html
>
>
> What it is?
> ===========
>
> PyTables is a library for managing hierarchical datasets and
> designed to efficiently cope with extremely large amounts of data with
> support for full 64-bit file addressing.  PyTables runs on top of
> the HDF5 library and NumPy package for achieving maximum throughput and
> convenient use.  PyTables includes OPSI, a new indexing technology,
> allowing to perform data lookups in tables exceeding 10 gigarows
> (10**10 rows) in less than a tenth of a second.
>
>
> Resources
> =========
>
> About PyTables: http://www.pytables.org
>
> About the HDF5 library: http://hdfgroup.org/HDF5/
>
> About NumPy: http://numpy.scipy.org/
>
>
> Acknowledgments
> ===============
>
> Thanks to many users who provided feature improvements, patches, bug
> reports, support and suggestions.  See the ``THANKS`` file in the
> distribution package for a (incomplete) list of contributors.  Most
> specially, a lot of kudos go to the HDF5 and NumPy makers.
> Without them, PyTables simply would not exist.
>
>
> Share your experience
> =====================
>
> Let us know of any bugs, suggestions, gripes, kudos, etc. you may have.
>
>
> ----
>
>    **Enjoy data!**
>
> --
> The PyTables Developers
>
>
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