numexpr 2.4.3-1ubuntu1 source package in Ubuntu

Changelog

numexpr (2.4.3-1ubuntu1) xenial; urgency=medium

  * Add missing python[3]-pkg-resources test dependency.

 -- Martin Pitt <email address hidden>  Tue, 26 Jan 2016 07:55:19 +0100

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Uploaded by:
Martin Pitt on 2016-01-26
Uploaded to:
Xenial
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release on 2016-02-15 universe python

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File Size SHA-256 Checksum
numexpr_2.4.3.orig.tar.gz 88.0 KiB 7006e77d794c7352a95c770707a06e4591b1345022966b9cb6c38c7624f20ef6
numexpr_2.4.3-1ubuntu1.debian.tar.xz 6.8 KiB 89f0aa61747d6644374a1acdbd6c0caa8b97c3b1efd4025331604cb8204be8d8
numexpr_2.4.3-1ubuntu1.dsc 2.5 KiB 9c309d0a355ff7f08a3ed71bd202b4f61032b3ba5c597d77a4f9a8cb4df2f823

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Binary packages built by this source

python-numexpr: No summary available for python-numexpr in ubuntu yakkety.

No description available for python-numexpr in ubuntu yakkety.

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: No summary available for python3-numexpr in ubuntu yakkety.

No description available for python3-numexpr in ubuntu yakkety.

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.