focus on making good use of arrays,
>>> > NumPy array functions, and array expressions in your code. If you
>>> > have to write for loops (if there is no good way to do the operation
>>> > with existing NumPy functions), I would reach for something like
>>>
;> > > Hi Ram,
>> > >
>> > > No, NumPy doesn’t have a way. And it newer versions, it probably
>> > > won’t create two arrays if all the dtypes match, it’ll do some
>> > > magic to re use the existing ones, although it will use multiple
>>
arrays if all the dtypes match, it’ll do some
> > > magic to re use the existing ones, although it will use multiple
> > > loops instead of just one.
> > >
> > > You might want to look into NumExpr or Numba if you want an
> > > efficient implementation.
&g
instead of just one.
> > >
> > > You might want to look into NumExpr or Numba if you want an
> > > efficient implementation.
> > >
> > > Get Outlook for iOS
> > >
> > > From: NumPy-Discussion <
> > > numpy-discussion-bounces+einstein.e
look into NumExpr or Numba if you want an
> > efficient implementation.
> >
> > Get Outlook for iOS
> >
> > From: NumPy-Discussion <
> > numpy-discussion-bounces+einstein.edison=gmail@python.org> on
> > behalf of Ram Rachum
> > Sent: Tue
-
> *From:* NumPy-Discussion gmail@python.org> on behalf of Ram Rachum
> *Sent:* Tuesday, July 23, 2019 7:29 pm
> *To:* numpy-discussion@python.org
> *Subject:* [Numpy-discussion] Creating a sine wave with exponential decay
>
>
> Hi everyone! Total Numpy ne
efficient
implementation.
Get Outlook for iOS<https://aka.ms/o0ukef>
From: NumPy-Discussion
on behalf of
Ram Rachum
Sent: Tuesday, July 23, 2019 7:29 pm
To: numpy-discussion@python.org
Subject: [Numpy-discussion] Creating a sine wave with exponential deca
Hi everyone! Total Numpy newbie here.
I'd like to create an array with a million numbers, that has a sine wave
with exponential decay on the amplitude.
In other words, I want the value of each cell n to be sin(n) * 2 ** (-n *
factor).
What would be the most efficient way to do that?
Someone sug
