=============================================================== Announcing Blosc 1.2.3 A blocking, shuffling and lossless compression library =============================================================== What is new? ============ New `blosc_init()` and `blosc_destroy()` functions have been added so that the global lock can be initialized safely. These new functions will also allow for other kind of initializations/destructions in the future. Existing applications using Blosc do not need to start using the new functions right away, as long as they calling `blosc_set_nthreads()` previous to anything else. However, using them is highly recommended. Thanks to Oscar Villellas for the init/destroy suggestion, it is a nice idea indeed! For more info, please see the release notes in: https://github.com/FrancescAlted/blosc/wiki/Release-notes What is it? =========== Blosc (http://www.blosc.org) is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc is the first compressor (that I'm aware of) that is meant not only to reduce the size of large datasets on-disk or in-memory, but also to accelerate object manipulations that are memory-bound. There is also a handy command line for Blosc called Bloscpack (https://github.com/esc/bloscpack) that allows you to compress large binary datafiles on-disk. Although the format for Bloscpack has not stabilized yet, it allows you to effectively use Blosc from you favorite shell. Download sources ================ Please go to main web site: http://www.blosc.org/ and proceed from there. The github repository is over here: https://github.com/FrancescAlted/blosc Blosc is distributed using the MIT license, see LICENSES/BLOSC.txt for details. Mailing list ============ There is an official Blosc mailing list at: blosc@googlegroups.com http://groups.google.es/group/blosc Enjoy Data! .. Local Variables: .. mode: rst .. coding: utf-8 .. fill-column: 70 .. End: