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numexpr package

numexpr 2.2.2-3build1 source package in Ubuntu

Changelog

numexpr (2.2.2-3build1) trusty; urgency=medium

  * Rebuild for python3.4 as a supported python version.
 -- Matthias Klose <email address hidden>   Sat, 04 Jan 2014 19:28:00 +0000

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

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numexpr_2.2.2.orig.tar.gz 73.9 KiB 47d3435785f59a72dc06a1c0257b83f0f656d4974e804c30a6ef8c0de293d9ee
numexpr_2.2.2-3build1.debian.tar.gz 6.6 KiB 37009a9a54e2452d1f31fc7c10ba82052c540de30ffecc1be24fdd7c3edfb4c0
numexpr_2.2.2-3build1.dsc 1.7 KiB cc8d2bcc787505ce463d17c3b6c23f8fdd53885aa76ee371da08fbf23a89b8f2

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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: 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.