numexpr 2.7.0-1build1 source package in Ubuntu
Changelog
numexpr (2.7.0-1build1) focal; urgency=medium * No-change rebuild to build with python3.8. -- Matthias Klose <email address hidden> Fri, 18 Oct 2019 18:32:57 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Focal
- Original maintainer:
- Debian Science Team
- Architectures:
- any
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| numexpr_2.7.0.orig.tar.gz | 117.5 KiB | 1923f038b90cc69635871968ed742be7775c879451c612f173c2547c823c9561 |
| numexpr_2.7.0-1build1.debian.tar.xz | 7.9 KiB | 00754230d70e65d85ddd2c967bf6f86795ff085f40a8a0c2da502700965c42dc |
| numexpr_2.7.0-1build1.dsc | 2.5 KiB | aa5d4d9a41de80dce112ed4a60e98381b020645b7befb5134c115eb9cd026092 |
Available diffs
- diff from 2.7.0-1 (in Debian) to 2.7.0-1build1 (309 bytes)
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: No summary available for python-numexpr-dbg in ubuntu focal.
No description available for python-numexpr-dbg in ubuntu focal.
- 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.
