• [Python-announce] Announcing NumExpr 2.8.1

    From Robert McLeod@robbmcleod@gmail.com to comp.lang.python.announce on Fri Dec 10 17:29:17 2021
    From Newsgroup: comp.lang.python.announce

    Hi everyone,

    This is another maintenance release to further modernize our install script
    for
    distributions that do not include `setuptools` by default. Thanks to
    Antonio
    Valentino for the changes.

    Project documentation is available at:

    http://numexpr.readthedocs.io/


    Changes from 2.8.0 to 2.8.1
    ---------------------------

    * Fixed dependency list.
    * Added ``pyproject.toml`` and modernize the ``setup.py`` script. Thanks to Antonio Valentino for the PR.

    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!
    --
    Robert McLeod
    robbmcleod@gmail.com
    robert.mcleod@hitachi-hightech.com
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