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
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Trusty
- Original maintainer:
- Debian Science Team
- Architectures:
- any
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
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 |
Available diffs
- diff from 2.2.2-3 (in Debian) to 2.2.2-3build1 (324 bytes)
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.