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/NumexprMKLIts 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/numexprYou can get the packages from PyPI as well (but not for RC releases):
http://pypi.python.org/pypi/numexprDocumentation 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!