Package python3-module-numexpr: Information
Source package: python3-module-numexpr
Version: 2.8.3-alt2
Build time: Jan 19, 2024, 07:38 AM in the task #333513
Category: Development/Python3
Report package bugHome page: https://github.com/pydata/numexpr
License: MIT
Summary: Fast numerical array expression evaluator for Python and NumPy
Description:
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, armh, aarch64)
python3-module-numexpr-debuginfo (x86_64, ppc64le, i586, armh, aarch64)
python3-module-numexpr (x86_64, ppc64le, i586, armh, aarch64)
python3-module-numexpr-debuginfo (x86_64, ppc64le, i586, armh, aarch64)
Maintainer: Grigory Ustinov
List of contributors:
Grigory Ustinov
Vitaly Lipatov
Michael Shigorin
Stanislav Levin
Sergey Bolshakov
Gleb Fotengauer-Malinovskiy
Aleksei Nikiforov
Ivan Zakharyaschev
Mikhail Efremov
Eugeny A. Rostovtsev
Vitaly Kuznetsov
Grigory Ustinov
Vitaly Lipatov
Michael Shigorin
Stanislav Levin
Sergey Bolshakov
Gleb Fotengauer-Malinovskiy
Aleksei Nikiforov
Ivan Zakharyaschev
Mikhail Efremov
Eugeny A. Rostovtsev
Vitaly Kuznetsov
Last changed
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
June 20, 2022 Michael Shigorin 1:2.8.1-alt4
- E2K: build with openblas too