ANN: numexpr 2.12.0 released

[Francesc Alted]

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Announcing NumExpr 2.12.0
=========================

Hi everyone,

NumExpr 2.12.0 comes with new isnan/isfinite/isinf functions.
Most importantly, we have added instructions for adding new functions
to the virtual machine.  See ADDFUNCS.rst for more details.  Thanks to
Luke Shaw for these contributions.

Project documentation is available at:

http://numexpr.readthedocs.io/

Changes from 2.11.0 to 2.12.0
-----------------------------

* Added isnan/isfinite/isinf functions.  Thanks to Luke Shaw.

* New instructions for adding new functions to the virtual machine.
  They are available at ADDFUNCS.rst.  Thanks to Luke Shaw.

* We are distributing binary wheels for Python 3.14 and 3.14t now.

* We are distributing musllinux wheels too!  Thanks to Clément Robert.

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!

--

Francesc Alted