Hi everyone,
Here's a problem I've been dealing with. I wonder whether NumPy has a tool
that will help me, or whether this could be a useful feature request.
In the upcoming EuroPython 20200, I'll do a talk about live-coding a music
synthesizer. It's going to be a fun talk, I'll use the sounddevi
On Sun, Jul 12, 2020 at 3:02 PM Ram Rachum wrote:
>
> Hi everyone,
>
> Here's a problem I've been dealing with. I wonder whether NumPy has a tool
> that will help me, or whether this could be a useful feature request.
>
> In the upcoming EuroPython 20200, I'll do a talk about live-coding a music
On Sun, 2020-07-12 at 16:00 +0300, Ram Rachum wrote:
> Hi everyone,
>
> Here's a problem I've been dealing with. I wonder whether NumPy has a
> tool
> that will help me, or whether this could be a useful feature request.
>
> In the upcoming EuroPython 20200, I'll do a talk about live-coding a
> m
Thank you Sebastian and Andras for your detailed replies.
Sebastian, your suggestion of adding `item.item()` solved my problem! Now
the for loop is still slower than vectorize, but by a smaller factor, and
that's fast enough for my demonstration. My problem is solved and I'm very
happy!
I also tr
Just a heads-up. As I think the discussion seemed to settled on
"backwards" (default, identical to None), "forward" and the existing
"ortho".
Thus "forward" and "backward" are now new valid values for the `norm`
keyword argument to the fft functions in NumPy. (see
https://github.com/numpy/numpy/
