numexpr 2.7.0-1 source package in Ubuntu

Changelog

numexpr (2.7.0-1) unstable; urgency=medium

  * New upstream release.
  * debian/patches:
    - new 0001-Use-the-corrent-interpreter-for-testing.patch

 -- Antonio Valentino <email address hidden>  Fri, 16 Aug 2019 05:28:05 +0000

Upload details

Uploaded by:
Debian Science Team on 2019-08-20
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-08-20 universe python

Downloads

File Size SHA-256 Checksum
numexpr_2.7.0-1.dsc 2.5 KiB 5544de53338b77a89ffa9793c0264892a75058cc3c08367a99c5f9a28ce9f9ac
numexpr_2.7.0.orig.tar.gz 117.5 KiB 1923f038b90cc69635871968ed742be7775c879451c612f173c2547c823c9561
numexpr_2.7.0-1.debian.tar.xz 7.9 KiB fde6d39b72282b2c2c2456147bb7ed95de64b5e7023df35df4300fca98912187

Available diffs

No changes file available.

Binary packages built by this source

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

No description available for python-numexpr in ubuntu focal.

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.