======================== Announcing NumExpr 2.7.3 ======================== Hi everyone, This is a maintenance release to make use of the oldest supported NumPy version when building wheels, in an effort to alleviate issues seen on Windows machines that do not have the latest Windows MSVC runtime installed. It also adds wheels built via GitHub Actions for ARMv8 platforms. Project documentation is available at: http://numexpr.readthedocs.io/ Changes from 2.7.2 to 2.7.3 --------------------------- - Pinned Numpy versions to minimum supported version in an effort to alleviate issues seen in Windows machines not having the same Windows SDK installed as was used to build the wheels. - ARMv8 wheels are now available, thanks to `odidev` for the pull request. 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! -- Robert McLeod robbmcleod@gmail.com robert.mcleod@hitachi-hhtc.ca