numexpr 2.6.2-2 source package in Ubuntu
Changelog
numexpr (2.6.2-2) unstable; urgency=medium * Restore -dbg packages -- Antonio Valentino <email address hidden> Mon, 14 Aug 2017 18:13:26 +0000
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- 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_2.6.2-2.dsc | 2.5 KiB | 286784e001c08445d4d862d5383f02d74500802a7fb3c9ae828f699779f19f1e |
| numexpr_2.6.2.orig.tar.gz | 97.7 KiB | 8c57759bbd64fb81d985e54772191b71e8b63d58843d64933009521d2dddfd2f |
| numexpr_2.6.2-2.debian.tar.xz | 6.6 KiB | 600324596e0c35f87e24c0a1f65bdcfbd03863cdaf0001e4c955464f5427a393 |
Available diffs
- diff from 2.6.1-4build1 (in Ubuntu) to 2.6.2-2 (7.6 KiB)
- diff from 2.6.2-1 to 2.6.2-2 (1.9 KiB)
No changes file available.
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: No summary available for python-numexpr-dbg in ubuntu artful.
No description available for python-numexpr-dbg in ubuntu artful.
- 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.
