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numexpr package

numexpr 2.2.2-4build1 source package in Ubuntu

Changelog

numexpr (2.2.2-4build1) trusty; urgency=medium

  * No change rebuild to drop python3.3 compiled extension.
 -- Dimitri John Ledkov <email address hidden>   Tue, 01 Apr 2014 14:21:38 +0100

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Uploaded by:
Dimitri John Ledkov
Uploaded to:
Trusty
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Trusty release universe python

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File Size SHA-256 Checksum
numexpr_2.2.2.orig.tar.gz 73.9 KiB 47d3435785f59a72dc06a1c0257b83f0f656d4974e804c30a6ef8c0de293d9ee
numexpr_2.2.2-4build1.debian.tar.gz 6.8 KiB 9efa2e48fdacdd90aee35fdb0840180f3155116b14082971a4ea03ba8f1f704c
numexpr_2.2.2-4build1.dsc 2.4 KiB 2a23992e9b7117e88e96baf97c2beef190fe651362e377c5cb5208bf889e05e0

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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 pyepr for Python 3.

python3-numexpr-dbg: No summary available for python3-numexpr-dbg in ubuntu utopic.

No description available for python3-numexpr-dbg in ubuntu utopic.