This is a quick release fixing some reported problems in the 2.4.5 version that I announced a few hours ago. Hope I have fixed the main issues now. Now, the official announcement:
Announcing Numexpr 2.4.6
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 wears 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.
This is a quick maintenance version that offers better handling of
MSVC symbols (#168, Francesc Alted), as well as fising some
UserWarnings in Solaris (#189, Graham Jones).
In case you want to know more in detail what has changed in this
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
Share your experience
Let us know of any bugs, suggestions, gripes, kudos, etc. you may