Hi Justin, Thank you so much for the quick reply!
I'm going to give this new package a try. Best, Marianne On Fri, Jun 9, 2017 at 11:20 AM, Justin Kitzes <jkit...@berkeley.edu> wrote: > Hi Marianne, > > PyWren by Eric Jonas sounds like it's pretty similar to what you're looking > for - > > http://pywren.io/ > > It's a relatively new package that's still in active development, but Eric is > very interested in expanding it (and has some support from the riselab at UC > Berkeley to do so). I know that he's also actively looking for use cases, so > I'd definitely suggest getting in touch with him if you're interested. > > Best, > > Justin > > -- > Justin Kitzes > Energy and Resources Group > Berkeley Institute for Data Science > University of California, Berkeley > >> On Jun 9, 2017, at 6:51 AM, Marianne Corvellec >> <marianne.corvel...@gmail.com> wrote: >> >> Dear community, >> >> I'm curious as to whether some of you might have worked on or used >> solutions such as AWS Lambda in the context of your scientific >> research. >> >> If so, have you documented it in a blog post that you could share? >> Thanks in advance! >> >> Without even considering workflows or full-fledged projects, wouldn't >> we want to be able to make a standard API call to, say, fit a >> polynomial to some data? Is anyone aware of any effort in this >> direction? >> >> A friend of mine just drew my attention to this general issue, which >> touches on open science and reproducible research... In the meantime, >> I'll encourage him to join this mailing list! >> >> Thank you, >> Marianne >> _______________________________________________ >> Discuss mailing list >> Discuss@lists.software-carpentry.org >> http://lists.software-carpentry.org/listinfo/discuss > _______________________________________________ Discuss mailing list Discuss@lists.software-carpentry.org http://lists.software-carpentry.org/listinfo/discuss