Hi all, On the subject of Jupyter notebooks in the cloud... it's also worth looking into IBM's Data Science Experience: https://datascience.ibm.com/ (disclosure: I am an IBM employee). You can run Jupyter notebooks with Python2/Python3/R/Scala, as well as use RStudio, in the cloud, executing on Spark.
The issues for teaching beginners may be that you have to create a (free) Spark instance before you can run your notebook, and annoyingly the interface sort of suggests you are 'purchasing' this Spark instance (even though it is free) - but this is just a case of a few clicks. Also Python 3 (3.5, specifically) support is currently listed as 'experimental' but I haven't had any problems with it yet. If you can get past these little annoyances, it's a pretty quick way of getting up and running with a notebook or RStudio in the cloud with quite beefy compute power underneath, for free. The trial period is currently 30 days but I believe you can request to extend that. I haven't compared it with the Microsoft Azure offering - from a quick look it looks more minimal which may be better for your needs, though not as mature (that said, the Data Science Experience is pretty recent and still evolving). If anyone wants more info let me know! Cheers, Richard On 9 August 2017 at 14:50, Konrad Förstner <[email protected]> wrote: > Dear all, > > thanks for sharing your experiences. Here is a similar approach - > JupyterHub on Google Cloud: > > https://www.oreilly.com/ideas/jupyterhub-on-gcloud?imm_mid=0 > f55ac&cmp=em-data-na-na-newsltr_20170809 > > I have not tested that myself so far. > > Cheers > > Konrad > > On Wed Aug 09, 2017 at 07:49:56AM +0000, Adam Witney wrote: > >> >> >> I came across this the other day, you can run jupyter notebooks on azure >> for >> free if you have a Microsoft account (free to set up) >> >> >> >> https://notebooks.azure.com/ >> >> >> >> might be quite useful for teaching >> >> >> >> Adam >> >> >> >> From: Discuss [mailto:[email protected]] On >> Behalf >> Of Leighton Pritchard >> Sent: 09 August 2017 07:30 >> To: Titus Brown <[email protected]> >> Cc: Software Carpentry Discussion <[email protected]> >> Subject: Re: [Discuss] A brief tutorial on spinning up multiple Jupyter >> Notebooks in Docker containers for a tutorial >> >> >> >> Thanks Titus, >> >> >> >> Do you have an estimate of what the total AWS cost was for the session? >> (To >> help us convince sources of financial support…) >> >> >> >> Cheers, >> >> >> >> L. >> >> >> >> On 9 Aug 2017, at 01:32, C. Titus Brown <[email protected]> wrote: >> >> >> Hi all, >> >> I put this together for a tutorial last week, and I have to say it went >> amazingly smoothly: >> >> https://github.com/mblmicdiv/course2017/blob/master/exercises/ >> sourmash-setup.md >> >> Briefly, >> >> * I started a big Amazon machine; >> * I installed Docker and built a custom image containing my software of >> interest; >> * I ran multiple containers, one connected to port 8000, one on 8001, >> etc. >> and gave each student a different port; >> * students could connect in and use the Terminal program in Jupyter to >> execute commands, and could upload/download files via the Jupyter >> console >> interface; >> * in theory I could have used notebooks too, but for this I didn’t have >> need. >> >> I am aware that JupyterHub can probably do all of this including >> manage the >> containers, but I’m still a bit shy of diving into that; this was >> fairly >> straightforward, gave me disposable containers that were isolated for >> each >> individual student, and worked almost flawlessly. Should be easy to do >> with RStudio too. >> >> Other write-ups to do similar things with your favorite setup would be >> great! >> >> best, >> —titus >> >> p.s. the actual tutorial that students ran was here: >> https://github.com/ >> mblmicdiv/course2017/blob/master/exercises/sourmash.md >> >> _______________________________________________ >> Discuss mailing list >> [email protected] >> http://lists.software-carpentry.org/listinfo/discuss >> >> >> >> -- >> >> Leighton Pritchard >> >> [email protected] >> >> gpg/pgp:0xDECACFFC >> >> >> >> >> >> > _______________________________________________ >> Discuss mailing list >> [email protected] >> http://lists.software-carpentry.org/listinfo/discuss >> > > _______________________________________________ > Discuss mailing list > [email protected] > http://lists.software-carpentry.org/listinfo/discuss
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