======================== Announcing Numexpr 1.1 ======================== Numexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python.
The expected speed-ups for Numexpr respect to NumPy are between 0.95x and 15x, being 3x or 4x typical values. The strided and unaligned case has been optimized too, so if the expresion contains such arrays, the speed-up can increase significantly. Of course, you will need to operate with large arrays (typically larger than the cache size of your CPU) to see these improvements in performance. This release is mainly intended to put in sync some of the improvements that had the Numexpr version integrated in PyTables. So, this standalone version of Numexpr will benefit of the well tested PyTables' version that has been in production for more than a year now. In case you want to know more in detail what has changed in this version, have a look at ``RELEASE_NOTES.txt`` in the tarball. Where I can find Numexpr? ========================= The project is hosted at Google code in: http://code.google.com/p/numexpr/ Share your experience ===================== Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy! -- Francesc Alted _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
