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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. This is the version for Python 3.
| Package | Summary | Distribution | Download |
| python36-numexpr-2.7.0-1.el7.aarch64.html | Fast numerical array expression evaluator for Python and NumPy | EPEL 7 for aarch64 | python36-numexpr-2.7.0-1.el7.aarch64.rpm |
| python36-numexpr-2.7.0-1.el7.ppc64le.html | Fast numerical array expression evaluator for Python and NumPy | EPEL 7 for ppc64le | python36-numexpr-2.7.0-1.el7.ppc64le.rpm |
| python36-numexpr-2.7.0-1.el7.x86_64.html | Fast numerical array expression evaluator for Python and NumPy | EPEL 7 for x86_64 | python36-numexpr-2.7.0-1.el7.x86_64.rpm |
| python36-numexpr-2.5.2-3.el7.ppc64.html | Fast numerical array expression evaluator for Python and NumPy | EPEL 7 for ppc64 | python36-numexpr-2.5.2-3.el7.ppc64.rpm |
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