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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. WWW: http://code.google.com/p/numexpr/ PR: ports/148372 Submitted by: Ju Pengfei <jupengfei@gmail.com> Feature safe: yes
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195 B
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3 lines
195 B
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MD5 (numexpr-1.3.1.tar.gz) = 1ca0cf40350913fa620f73cbd906378a
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SHA256 (numexpr-1.3.1.tar.gz) = 52bae05999975b181a49903371bd22073669c210d2e34a26d6b87bf684c35263
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SIZE (numexpr-1.3.1.tar.gz) = 56972
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