Hello everyone,
I'm interested in the numpy project and tried a lot with the numpy array.
I'm wondering what is actually done that there is so much overhead when I
call a function in Numpy. What is the reason?
Thanks in advance.
Regards
Sebastian Kaster
head are you seeing?
>
> There can be all sorts of reasons for overhead, and some can easily be
> mitigated, and others not so much.
>
> Cheers!
> Ben Root
>
>
> On Tue, Feb 28, 2017 at 4:47 PM, Sebastian K <
> sebastiankas...@googlemail.com> wrote:
>
>>
Thank you! That is the information I needed.
2017-03-01 0:18 GMT+01:00 Matthew Brett <matthew.br...@gmail.com>:
> Hi,
>
> On Tue, Feb 28, 2017 at 3:04 PM, Sebastian K
> <sebastiankas...@googlemail.com> wrote:
> > Yes you are right. There is no ne
eap peak pure python3: 1060565
heap peakt numpy function: 4917180
2017-02-28 23:17 GMT+01:00 Matthew Brett <matthew.br...@gmail.com>:
> Hi,
>
> On Tue, Feb 28, 2017 at 2:12 PM, Sebastian K
> <sebastiankas...@googlemail.com> wrote:
> > Thank you for your answer.
> &
before being immediately discarded.
>
> -Joe
>
> On Tue, Feb 28, 2017 at 5:57 PM, Sebastian K <sebastiankaster@googlemail.
> com> wrote:
>
>> Yes it is true the execution time is much faster with the numpy function.
>>
>> The Code for numpy version:
&g
