From: Antonio V. <ant...@ti...> - 2014-03-25 23:16:29
|
=========================== Announcing PyTables 3.1.1 =========================== We are happy to announce PyTables 3.1.1. This is a bug-fix release that addresses a critical bug that make PyTables unusable on some platforms. What's new ========== - Fixed a critical bug that caused an exception at import time. The error was triggered when a bug in long-double detection is detected in the HDF5 library (see :issue:`275`) and numpy_ does not expose `float96` or `float128`. Closes :issue:`344`. - The internal Blosc_ library has been updated to version 1.3.5. This fixes a false buffer overrun condition that made c-blosc to fail, even if the problem was not real. 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/3.1.1 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 |