Sunpoet Po-Chuan Hsieh
f6d3ff8fd8
Update to 2.6.9
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Changes: https://github.com/pydata/numexpr/releases
https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2019-01-01 20:37:07 +00:00
Sunpoet Po-Chuan Hsieh
0012913143
Update to 2.6.8
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Changes: https://github.com/pydata/numexpr/releases
https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2018-08-20 22:14:33 +00:00
Sunpoet Po-Chuan Hsieh
a1e50f1197
Update to 2.6.7
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Changes: https://github.com/pydata/numexpr/releases
https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2018-08-13 18:20:00 +00:00
Sunpoet Po-Chuan Hsieh
3dc5f68429
Update to 2.6.6
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Changes: https://github.com/pydata/numexpr/releases
https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2018-07-29 19:17:28 +00:00
Sunpoet Po-Chuan Hsieh
bb396b48a9
Update to 2.6.5
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Changes: https://github.com/pydata/numexpr/releases
2018-05-03 18:40:51 +00:00
Sunpoet Po-Chuan Hsieh
c238b448b9
Update to 2.6.4
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Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2017-09-16 08:59:18 +00:00
Sunpoet Po-Chuan Hsieh
d20babb670
Update to 2.6.3
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- Use USES=dos2unix
Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2017-09-15 05:50:43 +00:00
Sunpoet Po-Chuan Hsieh
acdf03da28
Update to 2.6.2
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Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2017-01-30 21:42:31 +00:00
Sunpoet Po-Chuan Hsieh
268af6ca8f
- Update to 2.6.1
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Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2016-11-19 17:07:02 +00:00
Sunpoet Po-Chuan Hsieh
ab08631132
- Update to 2.6.0
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Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2016-06-26 17:16:22 +00:00
Sunpoet Po-Chuan Hsieh
51e912c76a
- Update to 2.5.2
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Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2016-04-09 12:30:06 +00:00
Sunpoet Po-Chuan Hsieh
d141d68c90
- Update to 2.5.1
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Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2016-04-01 11:16:23 +00:00
Sunpoet Po-Chuan Hsieh
68ab41b549
- Update to 2.5
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Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2016-03-06 06:24:02 +00:00
Sunpoet Po-Chuan Hsieh
b73eff4feb
- Update to 2.4.4
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- Update MASTER_SITES: move back to CHEESESHOP
- Add LICENSE_FILE
- Reformat pkg-descr and remove trailing space
- Add PyPI as primary WWW
Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2015-10-04 19:01:07 +00:00
Sunpoet Po-Chuan Hsieh
91a19e14e5
- Cleanup GH_* knobs:
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- Use DISTVERSIONPREFIX
- Remove GH_PROJECT
2015-05-13 19:01:28 +00:00
Sunpoet Po-Chuan Hsieh
e083eeb9d1
- Update to 2.4
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- Update WWW
Changes: https://github.com/pydata/numexpr/blob/master/RELEASE_NOTES.rst
2015-03-21 20:07:17 +00:00
Sunpoet Po-Chuan Hsieh
8207eb9802
- Update to 2.2.2
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- Support STAGEDIR
Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes
2013-09-28 19:47:45 +00:00
Sunpoet Po-Chuan Hsieh
af37f9065c
- Update to 2.2.1
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Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes
2013-09-09 10:08:51 +00:00
Sunpoet Po-Chuan Hsieh
63db1f2c92
- Update to 2.2
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- Do not use setuptools
Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes
2013-09-02 12:50:07 +00:00
Sunpoet Po-Chuan Hsieh
efafe2da5f
- Update to 2.1
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Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes
2013-05-01 20:10:34 +00:00
Sunpoet Po-Chuan Hsieh
b29a55732f
- Update to 2.0.1
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- Cleanup Makefile header
- Sort PLIST
Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes
2013-01-30 19:51:53 +00:00
Sunpoet Po-Chuan Hsieh
9094e9fa53
- Update to 1.4.2
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Changes: http://code.google.com/p/numexpr/wiki/ReleaseNotes
2011-09-23 05:03:38 +00:00
Martin Wilke
bb86cbe5d2
- Get Rid MD5 support
2011-03-20 12:54:45 +00:00
Wen Heping
bb4da8f5a1
- Update to 1.4.1
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Approved by: maintainer(implicit)
2010-10-21 01:39:56 +00:00
Wen Heping
714db4465a
numexpr - Fast numerical array expression evaluator for Python and NumPy.
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The 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.
Also, numexpr has support for the Intel VML (Vector Math Library) -- integrated
in Intel MKL (Math Kernel Library) --, allowing nice speed-ups when computing
transcendental functions (like trigonometrical, exponentials...) on top of
Intel-compatible platforms. This support also allows to use multiple cores in
your computations.
WWW: http://code.google.com/p/numexpr/
PR: ports/148372
Submitted by: Ju Pengfei <jupengfei@gmail.com >
Feature safe: yes
2010-07-05 08:18:12 +00:00