Hi List, I'm very proud to announce the availability of the newest and hottest release of PyTables: PyTables 2.1. While a lot of stuff is new, many efforts have gone in checking that everything works as it should. In fact, it is probably the most thorough tested version to date, as more than 50000 tests (for the Pro version) that sucessfully pass in the main platforms (Win, Linux and MacOSX) can vouch for. So, 2.1 is the recommended version now for use in production environments.
Also, a new pricing scheme for PyTables Pro has been made official. The idea is that nobody needing the features in Pro could be left outside. See: http://www.pytables.org/moin/PyTablesProPricing for details. And now, the official annoucement: =========================== Announcing PyTables 2.1 =========================== 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 2.1 introduces important improvements, like much faster node opening, creation or navigation, a file-based way to fine-tune the different PyTables parameters (fully documented now in a new appendix of the manual) and support for multidimensional atoms in EArray/CArray objects. Regarding the Pro edition, four different kinds of indexes are supported so that the user can choose the best for her needs. Also, and due to the introduction of the concept of chunkmaps in OPSI, the responsiveness of complex queries with low selectivity has improved quite a lot. And last but not least, it is possible now to sort tables by a specific field with no practical limit in size (tables up to 2**48 rows). Also, a lot of work has gone in the reworking of the "Optimization tips" chapter of the manual where many benchmarks have been redone using newer software and machines and a few new sections have been added. In particular, see the new "Fine-tuning the chunksize" section where you will find an in-deep introduction to the subject of chunking and the "Indexing and Solid State Disks (SSD)" where the advantages of using low-latency SSD disks have been analysed in the context of indexation. In case you want to know more in detail what has changed in this version, have a look at ``RELEASE_NOTES.txt`` in the tarball. Find the HTML version for this document at: http://www.pytables.org/moin/ReleaseNotes/Release_2.1 You can download a source package of the version 2.1 with generated PDF and HTML docs and binaries for Windows from http://www.pytables.org/download/stable For an on-line version of the manual, visit: http://www.pytables.org/docs/manual-2.1 Finally, you can get an evaluation version for PyTables Pro in: http://www.pytables.org/download/evaluation Resources ========= Go to the PyTables web site for more details: 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. Many thanks also to SourceForge who have helped to make and distribute this package! And last, but not least thanks a lot 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!** -- The PyTables Team ------------------------------------------------------------------------------ _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
