====================== Announcing carray 0.1 ====================== What it is ==========
carray is a container for numerical data that can be compressed in-memory. The compresion process is carried out internally by Blosc, a high-performance compressor that is optimized for binary data. Having data compressed in-memory can reduce the stress of the memory subsystem. The net result is that carray operations can be faster than using a traditional ndarray object from NumPy. What's new ========== Everything ;-) This is the first public release of carray, and it is more a proof of concept to see which possibilities opens efficient compression for in-memory data containers. Currently carray 0.1 implements the basic container creation and enlargeability. Multidimensional arrays are not supported yet, and elements cannot be modified either (i.e. no `__setitem__()` support). Resources ========= Visit the main carray site repository at: http://github.com/FrancescAlted/carray You can download a source package from: http://github.com/FrancescAlted/carray/downloads Short tutorial: http://github.com/FrancescAlted/carray/blob/master/USAGE.txt Home of Blosc compressor: http://blosc.pytables.org Share your experience ===================== Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. ---- Enjoy! -- Francesc Alted
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