Package python3-module-numexpr: Information

    Source package: python3-module-numexpr
    Version: 2.10.1-alt1
    Latest version according to Repology
    Build time:  Jul 9, 2024, 04:14 PM in the task #352492
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    License: MIT
    Summary: Fast numerical array expression evaluator for Python and NumPy
    The numexpr package evaluates multiple-operator array expressions many
    times faster than NumPy can. It accepts the expression as a string,
    analyzes it, rewrites it more efficiently, and compiles it to faster
    Python code on the fly. It's the next best thing to writing the
    expression in C and compiling it with a specialized just-in-time (JIT)
    compiler, i.e. it does not require a compiler at runtime.
    Also, numexpr has support for the Intel VML (Vector Math Library) --
    integrated in Intel MKL (Math Kernel Library) --, allowing nice
    speed-ups when computing transcendental functions (like trigonometrical,
    exponentials...) on top of Intel-compatible platforms. This support also
    allows to use multiple cores in your computations.

    List of rpms provided by this srpm:
    python3-module-numexpr (x86_64, ppc64le, i586, aarch64)
    python3-module-numexpr-debuginfo (x86_64, ppc64le, i586, aarch64)

    Maintainer: Grigory Ustinov

    Vitaly Lipatov

      1. /proc
      2. gcc-c++
      3. liblapack-devel
      4. libnumpy-py3-devel
      5. rpm-build-python3
      6. python3(numpy.testing)
      7. python3(tox)
      8. python3-module-pyproject-installer >= 0.4.0
      9. python3-module-setuptools
      10. python3-module-wheel

    Last changed

    July 9, 2024 Grigory Ustinov 1:2.10.1-alt1
    - Automatically updated to 2.10.1.
    Dec. 18, 2023 Grigory Ustinov 1:2.8.3-alt2
    - Moved on pyproject macros.
    July 18, 2022 Vitaly Lipatov 1:2.8.3-alt1
    - new version 2.8.3