Hey all, happy Friday!

Thank you so much for your responses to date. Having conducted surveys for 
other matters in past lives and knowing firsthand that they are not 
anyone's favorite thing to do, I was surprised by the engagement the 
Jupyter community showed. But then again, knowing what I knew about this 
tight-knit community of engaged users, was I surprised?

In addition to thanking those who have responded, today I check in to 
remind everyone that the survey will be taking responses for *10 more days 
*(10/15). 
4 minutes of your time, 16 questions to inform the development of a useful 
Jupyter companion.

Thank you for your time!
Fernando

On Friday, September 28, 2018 at 4:31:19 PM UTC-7, [email protected] 
wrote:
>
> Hey all!
>
> My team and I are working on a Jupyter extension that allows Jupyter 
> users running compute-heavy code (i.e. ML training) to drastically reduce 
> total cumulative runtime of their projects. How? By first providing 
> visibility on a dashboard into their trusted peers’ idle compute power 
> (labmates’ / friends’ laptops & desktops) and second, sending the code to 
> this other laptop and commanding the execution via our extension.
> We'd love to hear from the community via *this survey* 
> <https://goo.gl/forms/TSFBpwxyGejkle482> to assess a) if the pain point 
> is big and frequent enough to warrant our extension and if so, b) specific 
> features you'd like to see in the extension. Please submit *before 10/15*. 
>
>
> We're trying to reach every loyal Jupyter user out there so my apologies 
> if you hear from us in another forum over the course of the weekend; thank 
> you so much for your time and thoughtful responses.
> - (A different, less famous) Fernando
>
>
>
>
>

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