=========================== Announcing PyTables 3.2.0rc2 =========================== We are happy to announce PyTables 3.2.0rc2. ******************************* IMPORTANT NOTICE: If you are a user of PyTables, it needs your help to keep going. Please read the next thread as it contains important information about the future (or lack of it) of the project: https://groups.google.com/forum/#!topic/pytables-users/yY2aUa4H7W4 Thanks! ******************************* What's new ========== This is a major release of PyTables and it is the result of more than a year of accumulated patches, but most specially it fixes a couple of nasty problem with indexed queries not returning the correct results in some scenarios (mainly pandas users). There are many usability and performance improvements too. In case you want to know more in detail what has changed in this version, please refer to: http://www.pytables.org/release_notes.html You can install it via pip or download a source package with generated PDF and HTML docs from: http://sourceforge.net/projects/pytables/files/pytables/3.2.0rc2 For an online version of the manual, visit: http://www.pytables.org/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