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  • [Python-announce] ANN: numexpr 2.12.1 released

    From Francesc Alted@[email protected] to comp.lang.python.announce on Thu Sep 11 13:06:10 2025
    From Newsgroup: comp.lang.python.announce

    =========================
    Announcing NumExpr 2.12.1
    =========================

    Hi everyone,

    NumExpr 2.12.1 now allows isnan/isfinite/isinf functions to be used with complex.
    Also, compilation agains OneAPI MKL has been fixed. Thanks to Luke Shaw
    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/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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