017 at 5:08 PM, Pauli Virtanen <p...@iki.fi> wrote:
>
>> Thu, 16 Mar 2017 08:15:08 +0100, Didrik Pinte kirjoitti:
>> >> The advantage of something like github pages is that it's big enough
>> >> that it *does* have dedicated ops support.
>> >
>> >
On 15 March 2017 at 22:56, Nathaniel Smith wrote:
> On Wed, Mar 15, 2017 at 6:16 AM, Bryan Van de ven
> wrote:
> > NumPy is a NumFocus fiscally sponsored project, perhaps they can help
> with the costs of different/better hosting.
>
> Enthought already
If all the SSL certification updates have been done properly, this message
should go through.
-- Didrik
On 14 September 2016 at 13:00, Didrik Pinte <dpi...@enthought.com> wrote:
> Hi everyone,
>
> While updating the scipy SSL certificates yesterday, it appeared that
> filesys
checking if server works as expected after SSL cert update
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
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Hi everyone,
While updating the scipy SSL certificates yesterday, it appeared that
filesystem of the servers is corrupted (more than likely a hardware
failure). The problem is restricted to one volume and impacts only the web
services. The mailing list/mailman service works as expected.
We're
On 19 February 2014 07:42, Charles R Harris charlesr.har...@gmail.comwrote:
From issue #1951 https://github.com/numpy/numpy/issues/1951:
The following URL shows an 500 internal server error:
http://docs.scipy.org/doc/numpy/reference/generated/numpy.var.html
Can someone with access to the
That specific issue is fixed.
-- Didrik
On 21 February 2014 15:26, Didrik Pinte dpi...@enthought.com wrote:
On 19 February 2014 07:42, Charles R Harris charlesr.har...@gmail.comwrote:
From issue #1951 https://github.com/numpy/numpy/issues/1951:
The following URL shows an 500 internal
On 21 February 2014 16:38, Charles R Harris charlesr.har...@gmail.comwrote:
On Fri, Feb 21, 2014 at 7:57 AM, Didrik Pinte dpi...@enthought.comwrote:
That specific issue is fixed.
-- Didrik
On 21 February 2014 15:26, Didrik Pinte dpi...@enthought.com wrote:
On 19 February 2014 07
On Sun, Dec 4, 2011 at 6:11 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
In numpy 1.6.1, what's the most straightforward way to convert a datetime64
to a python datetime.datetime? E.g. I have
In [1]: d = datetime64(2011-12-03 12:34:56.75)
In [2]: d
Out[2]: 2011-12-03
On Fri, Sep 17, 2010 at 8:53 AM, Mayank P Jain mayan...@gmail.com wrote:
I thought about these options but what I need is excel like interface that
displays the values for each cell and one can modify and save the files.
This would be convenient way of saving large files in less space and at
On Wed, 2010-03-31 at 23:13 -0700, Vishal Rana wrote:
Hi,
A calculation which goes like this...
n = 5
a = np.arange(1000)
b = np.arange(n - 1, 1000)
l = []
for i in range(b.size):
# Absolute difference of n a elements and nth b element
x = np.abs(a[i:i + n] - b[i])
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