Re: [Numpy-discussion] Move scipy.org docs to Github?

2017-03-17 Thread Didrik Pinte
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. >> > >> >

Re: [Numpy-discussion] Move scipy.org docs to Github?

2017-03-16 Thread Didrik Pinte
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

Re: [Numpy-discussion] mail.scipy.org update

2016-09-26 Thread Didrik Pinte
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

[Numpy-discussion] test

2016-09-19 Thread Didrik Pinte
checking if server works as expected after SSL cert update ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion

[Numpy-discussion] mail.scipy.org update

2016-09-14 Thread Didrik Pinte
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

Re: [Numpy-discussion] Document server error.

2014-02-21 Thread Didrik Pinte
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

Re: [Numpy-discussion] Document server error.

2014-02-21 Thread Didrik Pinte
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

Re: [Numpy-discussion] Document server error.

2014-02-21 Thread Didrik Pinte
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

Re: [Numpy-discussion] Convert datetime64 to python datetime.datetime in numpy 1.6.1?

2011-12-04 Thread Didrik Pinte
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

Re: [Numpy-discussion] Viewer for 2D Numpy arrays (GUI)

2010-09-20 Thread Didrik Pinte
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

Re: [Numpy-discussion] Can this be done more efficiently using numpy?

2010-04-01 Thread Didrik Pinte
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])