Group :: Development/Python3
RPM: python3-module-numexpr
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A versão atual: 2.8.3-alt1
Data da compilação: 17 julho 2022, 23:12 ( 92.2 weeks ago )
Tamanho:: 100.61 Kb
Home page: https://github.com/pydata/numexpr
Licença: MIT
Sumário: Fast numerical array expression evaluator for Python and NumPy
Descrição:
Lista dos contribuidores
Lista dos rpms provida por esta srpm:
ACL:
Data da compilação: 17 julho 2022, 23:12 ( 92.2 weeks ago )
Tamanho:: 100.61 Kb
Home page: https://github.com/pydata/numexpr
Licença: MIT
Sumário: Fast numerical array expression evaluator for Python and NumPy
Descrição:
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.
Mantenedor currente: Vitaly Lipatov 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.
Lista dos contribuidores
- python3-module-numexpr
- python3-module-numexpr-debuginfo