20 at 5:03 PM Sebastian Berg
> wrote:
>
>> 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
03 PM Sebastian Berg
wrote:
> 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 re
on to `vectorize`?
2. Is there a more efficient way of writing the `for` loop I've written
above? Or any other kind of solution to my problem?
Thanks for your help,
Ram Rachum.
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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
>>>
meone suggested I do something like this:
y = np.sin(x) * np.exp(newfactor * x)
But this would create 2 arrays, wouldn't it? Isn't that wasteful? Does
Numpy provide
an efficient way of doing that without creating a redundant array?
Thanks for your he
