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icipate actively in
developing
the SciPy library around 2010. Fortunately, at that time, Pauli Virtanen
and
Ralf Gommers picked up the pace of development supported by dozens of other
key
contributors such as David Cournapeau, Evgeni Burovski, Josef Perktold, and
Warren Weckesser. While I have
==
SciPy 0.19.1 is a bug-fix release with no new features compared to 0.19.0.
The most important change is a fix for a severe memory leak in
``integrate.quad``.
Authors
===
* Evgeni Burovski
* Patrick Callier +
* Yu Feng
* Ralf Gommers
* Ilhan Polat
* Eric Quintero
* Scott Sievert
Changes by Ralf Gommers <ralf.gomm...@gmail.com>:
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Ralf Gommers added the comment:
Any chance to get this merged?
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Ralf Gommers added the comment:
Hi all,
There is now a much more concrete plan for the static MinGW-w64 based
toolchain, and the first funding has materialized.
Please see the announcement on the Numpy mailing list
(http://article.gmane.org/gmane.comp.python.numeric.general/62207
Ralf Gommers added the comment:
> "We" is a lot of different companies and individuals. Anyone distributing
> prebuilt binaries is helping here, a few people are working on the licensing
> concerns for some components, other people are working on C BLAS libraries.
Note
Ralf Gommers added the comment:
> I'm happy and keen to help so please feel free to poke me if you need
> assistance with anything. I'll keep an eye out too - is it actively being
> discussed on any list?
Thanks Henry. There's no ongoing discussion on a list right now, but give i
Ralf Gommers added the comment:
> @Steve Great, so what needs to be done so that I as a package developer can
> do `pip install windows-build-system`, `python setup.py bdist_wheel` and it
> actually creates a wheel? (which AFAICT is the same problem).
Hi Henry, I expect progress on
Hi all,
I'm happy to announce the availability of the Scipy 0.16.1 release. This is
a bugfix only release; it contains no new features compared to 0.16.0.
The sources and binary installers can be found at:
- Source tarballs: at https://github.com/scipy/scipy/releases and on
PyPi.
- OS
Ralf Gommers added the comment:
I'll note that in Numpy we have now worked around the issue (with
https://github.com/numpy/numpy/pull/4892), basically by monkeypatching
distutils and doing:
if '/MANIFEST' not in ldflags:
ldflags.append('/MANIFEST')
The bug report is still valid
and install PyWavelets are supported now.
Authors
===
* Ankit Agrawal +
* François Boulogne +
* Ralf Gommers +
* David Menéndez Hurtado +
* Gregory R. Lee +
* David McInnis +
* Helder Oliveira +
* Filip Wasilewski
* Kai Wohlfahrt +
A total of 9 people contributed to this release.
People
Carey
* George Castillo +
* Alex Conley +
* Liam Damewood +
* Rupak Das +
* Abraham Escalante +
* Matthias Feurer +
* Eric Firing +
* Clark Fitzgerald
* Chad Fulton
* André Gaul
* Andreea Georgescu +
* Christoph Gohlke
* Andrey Golovizin +
* Ralf Gommers
* J.J. Green +
* Alex Griffing
* Alexander
Ralf Gommers added the comment:
Indeed, our idea of easy to install was/is a wheel or set of wheels so that
pip install mingw64py does all you need. If necessary that can of course be
repackaged as single download to unzip as well.
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Ralf Gommers added the comment:
A few comments from the perspective of what's needed for the scientific Python
stack:
1. Of the three options mentioned in msg243605, it's definitely (3) that is of
interest. We want to build extensions with MinGW-w64 that work with the
standard MSVC Python
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Hi,
I'm pleased to announce the release of Weave 0.15.0. Weave provides
tools for including C/C++ code within Python code. Inlining C/C++ code
within Python generally results in speedups of 1.5x to 30x over algorithms
written in pure Python.
Weave is the stand-alone version of the deprecated
Hurtado +
* Matthieu Dartiailh +
* Christoph Deil +
* Jörg Dietrich +
* endolith
* Francisco de la Peña +
* Ben FrantzDale +
* Jim Garrison +
* André Gaul
* Christoph Gohlke
* Ralf Gommers
* Robert David Grant
* Alex Griffing
* Blake Griffith
* Yaroslav Halchenko
* Andreas Hilboll
* Kat Huang
* Gert
Changes by Ralf Gommers ralf.gomm...@gmail.com:
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Changes by Ralf Gommers ralf.gomm...@gmail.com:
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+
* David Cournapeau
* Dražen Lučanin +
* Alexander J. Dunlap +
* endolith
* André Gaul +
* Christoph Gohlke
* Ralf Gommers
* Alex Griffing +
* Blake Griffith +
* Charles Harris
* Bob Helmbold +
* Andreas Hilboll
* Kat Huang +
* Oleksandr (Sasha) Huziy +
* Gert-Ludwig Ingold +
* Thouis (Ray
+
* Matthew R Goodman
* Christoph Gohlke
* Ralf Gommers
* Robert David Grant +
* Yaroslav Halchenko
* Charles Harris
* Jonathan Helmus
* Andreas Hilboll
* Hugo +
* Oleksandr Huziy
* Jeroen Demeyer +
* Johannes Schönberger +
* Steven G. Johnson +
* Chris Jordan-Squire
* Jonathan Taylor +
* Niklas
+
* endolith +
* Bjørn Forsman +
* Robert Gantner +
* Sebastian Gassner +
* Christoph Gohlke
* Ralf Gommers
* Yaroslav Halchenko
* Charles Harris
* Jonathan Helmus +
* Andreas Hilboll +
* Marc Honnorat +
* Jonathan Hunt +
* Maxim Ivanov +
* Thouis (Ray) Jones
* Christopher Kuster +
* Josh Lawrence
Hi,
I'm pleased to announce the availability of NumPy 1.6.2. This is a
maintenance release. Due to the delay of the NumPy 1.7.0, this release
contains far more fixes than a regular NumPy bugfix release. It also
includes a number of documentation and build improvements.
Sources and binary
Hi all,
I am pleased to announce the availability of SciPy 0.10.1. This is a
maintenance release, with no new features compared to 0.10.0.
Sources and binaries can be found at
http://sourceforge.net/projects/scipy/files/scipy/0.10.1/, release notes
are copied below.
Enjoy,
The SciPy developers
Hi,
I am pleased to announce the release of NumPy 1.6.0. This release is the
result of 9 months of work, and includes many new features, performance
improvements and bug fixes. Some highlights are:
- Re-introduction of datetime dtype support to deal with dates in arrays.
- A new 16-bit
I'm pleased to announce the release of SciPy 0.9.0.
SciPy is a package of tools for science and engineering for Python. It
includes modules for statistics, optimization, integration, linear
algebra, Fourier transforms, signal and image processing, ODE solvers,
and more. This release comes seven
Hi,
I am pleased to announce the availability of NumPy 1.5.1.
NumPy is the fundamental package needed for scientific computing with
Python. It contains:
* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* basic linear algebra functions
* basic Fourier transforms
*
I am pleased to announce the availability of NumPy 1.5.0. This is the first
NumPy release to include support for Python 3, as well as for Python 2.7.
Binaries, sources, documentation and release notes can be found at
https://sourceforge.net/projects/numpy/files/.
Thank you to everyone who
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