=========================== 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
About the HDF5 library:
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.