========================= Announcing NumExpr 2.12.1 =========================
Hi everyone, NumExpr 2.12.1 now allows isnan/isfinite/isinf functions to be used with complex. Also, compilation agains OneAPI MKL has been fixed. Thanks to Luke Shaw for these contributions. Project documentation is available at: http://numexpr.readthedocs.io/ Changes from 2.12.0 to 2.12.1 ----------------------------- * Added complex counterparts for isnan/isfinite/isinf functions. Thanks to Luke Shaw. * Updated documentation for the new functions and instructions for adding new functions to the virtual machine. Thanks to Luke Shaw. * Fixed MKL support; it was broken in 2.12.0. Thanks to Christoph Gohlke for reporting the issue. What's Numexpr? --------------- 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. It has multi-threaded capabilities, as well as support for Intel's MKL (Math Kernel Library), which allows an extremely fast evaluation of transcendental functions (sin, cos, tan, exp, log...) while squeezing the last drop of performance out of your multi-core processors. Look here for a some benchmarks of numexpr using MKL: https://github.com/pydata/numexpr/wiki/NumexprMKL Its only dependency is NumPy (MKL is optional), so it works well as an easy-to-deploy, easy-to-use, computational engine for projects that don't want to adopt other solutions requiring more heavy dependencies. Where I can find Numexpr? ------------------------- The project is hosted at GitHub in: https://github.com/pydata/numexpr You can get the packages from PyPI as well (but not for RC releases): http://pypi.python.org/pypi/numexpr Documentation is hosted at: http://numexpr.readthedocs.io/en/latest/ Share your experience --------------------- Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy data!
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