This is so excellent! What a wonderful upgrade to the web-page.
Thank you for all the hard work and effort!
-Travis
On Sun, May 24, 2020 at 7:12 AM Inessa Pawson wrote:
> The NumPy web team is excited to announce the launch of the newly
> redesigned numpy.org. To transform the website into
On Mon, May 25, 2020 at 11:17 AM Sebastian Berg
wrote:
> On Mon, 2020-05-25 at 11:10 -0400, Robert Kern wrote:
> > On Mon, May 25, 2020 at 10:36 AM Sebastian Berg <
> > sebast...@sipsolutions.net>
> > wrote:
> >
> > > On Mon, 2020-05-25 at 10:09 -0400, Brian Racey wrote:
> > > > Would a "complex
I wasted a good 2 weeks because of that behavior of Matlab back in the day
and I think that is one of the cardinal sins that matlab commits. If need
be there are alternatives as mentioned before but I definitely do not
prefer this coercion at all.
On Mon, May 25, 2020 at 5:18 PM Sebastian Berg
My Googling revealed none of this. I don't have anyone to talk to about
using numpy, so Google (and this group) is all I have. This was extremely
useful: https://numpy.org/devdocs/user/numpy-for-matlab-users.html so
perhaps it could be extended to point out those modules and entry points if
it
On Mon, 2020-05-25 at 11:10 -0400, Robert Kern wrote:
> On Mon, May 25, 2020 at 10:36 AM Sebastian Berg <
> sebast...@sipsolutions.net>
> wrote:
>
> > On Mon, 2020-05-25 at 10:09 -0400, Brian Racey wrote:
> > > Would a "complex default" mode ever make it into numpy, to behave
> > > more like
> >
On Mon, May 25, 2020 at 10:36 AM Sebastian Berg
wrote:
> On Mon, 2020-05-25 at 10:09 -0400, Brian Racey wrote:
> > Would a "complex default" mode ever make it into numpy, to behave
> > more like
> > Matlab and other packages with respect to complex number handling?
> > Sure it
> > would make it
Would a "complex default" mode ever make it into numpy, to behave more like
Matlab and other packages with respect to complex number handling? Sure it would make it
marginally slower if enabled, but it might open the door to better compatibility when
porting code to Python.
numpy already has
On Sun, May 24, 2020 at 8:19 PM Stephen Waterbury
wrote:
> This is an absolutely beautiful and very informative site!
> It is clear all the work and thought that went into it.
>
> So please take the following input as a constructive suggestion
> from an outsider -- I am a long-time (30-year)
On Mon, 2020-05-25 at 10:09 -0400, Brian Racey wrote:
> Thanks. That is for performance and memory which of course is valid
> for
> most use cases. Would it really be much different than doing
> type/size
> checking of all the np.array arguments to a function to ensure the
> appropriate final
Being relatively new to numpy, I'm learning as I go. Your typing suggestion
helped me come to the conclusion that I need to type and coerce my input
arguments as I'm doing complex math. My test arguments were real, and thus
numpy was producing real results. Doing .astype(np.complex128) to my input
Thanks. That is for performance and memory which of course is valid for
most use cases. Would it really be much different than doing type/size
checking of all the np.array arguments to a function to ensure the
appropriate final np.array sizes are allocated? I'm not trying to question
current
One explanation for this behavior is that doing otherwise would be slow.
Consider an array like
arr = np.array([1]*10**6 + [-1])
ret = np.log(arr)
Today, what happens is:
- The output array is allocated as np.double
- The input array is iterated over, and log evaluated on each element in
Why does numpy produce a runtime warning (invalid value encountered in log)
when taking the log of a negative number? I noticed that if you coerce the
argument to complex by adding 0j to the negative number, the expected
result is produced (i.e. ln(-1) = pi*i).
I was surprised I couldn't find a
Hi all,
Great job!! Congratulations.
In the "Ecosystem" -> "Scientific Domains" section, I think the links for
"bayesian inference" and "bio informatics" are wrong. The ones in "bayesian
inference" should appear in "bio informatics" and vice versa. Also, in the
"geographic processing" area
14 matches
Mail list logo
