Oops, I ran too fast and the tarfile was incomplete :-/ I've uploaded a new, corrected tarball. Hope this time it works smoothly. Sorry for the inconveniences.
Francesc A Wednesday 24 February 2010 20:19:20 Francesc Alted escriguĂ©: > Hi List, > > I'm glad to announce you the third beta version of PyTables 2.2 series. As > you should know by now, I've added support for the high-performance Blosc > compressor, so, if you are using compression (and if you are concerned > about getting the most out of your data, you should) you will see PyTables > to be faster than ever before. > > Although I've already tested Blosc quite a lot, it is still in beta, but > I'm confident that if enough people help me in testing the beast, we can > make it stable enough to be marked apt for production in a few months. > > And now, the official announcement: > > > =========================== > Announcing PyTables 2.2b3 > =========================== > > 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. > > This is the third, and most probably last, beta version of 2.2 release. > The main addition in this beta version is the addition of Blosc > (http://blosc.pytables.org), a high-speed compressor that is meant to > work at similar speeds, or higher, than the memory-cache bandwidth in > modern processors. This will allow for very high performance in > internal, in-memory PyTables computations while still using compression. > Remember that Blosc is still in *beta* and it is not meant for > production purposes yet. You have been warned! > > In case you want to know more in detail what has changed in this > version, have a look at: > http://www.pytables.org/moin/ReleaseNotes/Release_2.2b3 > > You can download a source package with generated PDF and HTML docs, as > well as binaries for Windows, from: > http://www.pytables.org/download/preliminary > > For an on-line version of the manual, visit: > http://www.pytables.org/docs/manual-2.2b3 > > > 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 (and numarray!) > 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!** > -- Francesc Alted ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
