Announcing carray 0.3.2 ======================= What's new ----------
Introduced 'python' as a new virtual machine for carrying out computations with carrays/ndarrays via `ca.eval()`, so the user won't need to have numexpr installed anymore. In addition, all the bunch of functions for dealing with ndarrays (NumPy/SciPy/...) can be used with the new virtual machine. For more detailed info, see the release notes in: https://github.com/FrancescAlted/carray/wiki/Release-0.3.2 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 may be faster than using a traditional ndarray object from NumPy. carray also supports fully 64-bit addressing (both in UNIX and Windows). Resources --------- Visit the main carray site repository at: http://github.com/FrancescAlted/carray You can download a source package from: http://carray.pytables.org/download Manual: http://carray.pytables.org/docs/manual Home of Blosc compressor: http://blosc.pytables.org User's mail list: car...@googlegroups.com http://groups.google.com/group/carray Share your experience --------------------- Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. ---- Enjoy! -- Francesc Alted ------------------------------------------------------------------------------ The modern datacenter depends on network connectivity to access resources and provide services. The best practices for maximizing a physical server's connectivity to a physical network are well understood - see how these rules translate into the virtual world? http://p.sf.net/sfu/oracle-sfdevnlfb _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
