Ubuntu
numexpr package

numexpr 2.4.3-1build1 source package in Ubuntu

Changelog

numexpr (2.4.3-1build1) xenial; urgency=medium

  * No-change rebuild to drop python3.4 support.

 -- Matthias Klose <email address hidden>  Tue, 19 Jan 2016 00:41:52 +0000

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Uploaded by:
Matthias Klose
Uploaded to:
Xenial
Original maintainer:
Debian Science Team
Architectures:
any
Section:
python
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
numexpr_2.4.3.orig.tar.gz 88.0 KiB 7006e77d794c7352a95c770707a06e4591b1345022966b9cb6c38c7624f20ef6
numexpr_2.4.3-1build1.debian.tar.xz 6.6 KiB 13813e4c913645ae75ea6dcf5054ad988af0940a32f8e01a53136d502c4b9014
numexpr_2.4.3-1build1.dsc 2.4 KiB 00a3164552f5c01eb3f3d5db8a03945ac064cf5a030351eff17ab491bb927980

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Binary packages built by this source

python-numexpr: Fast numerical array expression evaluator for Python and NumPy

 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 Python 2 version of the package.

python-numexpr-dbg: Fast numerical array expression evaluator for Python and NumPy (debug ext)

 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 package contains the extension built for the Python 2 debug
 interpreter.

python3-numexpr: Fast numerical array expression evaluator for Python 3 and NumPy

 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 package contains numexpr for Python 3.

python3-numexpr-dbg: Fast numerical array expression evaluator for Python 3 and NumPy (debug ext)

 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 package contains the extension built for the Python 3 debug
 interpreter.