========================= Announcing NumExpr 2.13.0 =========================
Hi everyone, NumExpr 2.13.0 introduced a bunch of new features including new bitwise operators (&, |, ^, ~), floor division (//). It also adds many new functions (like hypot, log2, maximum, minimum, nextafter...). Thanks to Luke Shaw for these contributions. Project documentation is available at: https://numexpr.readthedocs.io/ Changes from 2.12.1 to 2.13.0 ----------------------------- * New functionality has been added: * Bitwise operators (and, or, not, xor): `&, |, ~, ^` * New binary arithmetic operator for floor division: `//` * New functions: `signbit`, `hypot`, `copysign`, `nextafter`, `maximum`, `minimum`, `log2`, `trunc`, `round` and `sign`. * Also enables integer outputs for integer inputs for `abs`, `fmod`, `copy`, `ones_like`, `sign` and `round`. Thanks to Luke Shaw for the contributions. * New wheels for Python 3.14 and 3.14t are provided. 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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