[IPython-User] ipython notebook server experience
Moritz Emanuel Beber
Thu Jul 12 02:02:49 CDT 2012
just to chime in since I had a little classroom experience as well:
On 07/11/2012 05:56 PM, Skipper Seabold wrote:
> On Wed, Jul 11, 2012 at 11:36 AM, Matthias BUSSONNIER
> <firstname.lastname@example.org <mailto:email@example.com>>
> Le 11 juil. 2012 à 16:08, Skipper Seabold a écrit :
>> I had my first experience using the IPython notebook server in a
>> classroom setting this week. The students mostly liked it, but I'm
>> afraid they were mostly Python novices and I may have learned more
>> than they did. In any case, I'm hooked and see many possibilities.
>> Great work.
> Thanks for your kind words and your feedback.
>> I'm curious about a couple of things. Is the same notebook
>> intended to
>> be run by multiple users connected to the same server?
> We plan on having simultaneous user being able to edit the same
> notebook at the same time,
> probably with a per-cell lock.
>> Would it make sense to have an option for copy-on-open that could
>> be set in global
>> settings with the default to the current behavior?
> I don't really see the reason why, or not enough people will have
> the use of it.
> In the end we might allow to create a new notebook from an URL,
> you just have to open a notebook and create a copy from the file menu.
> Well my thinking is that with this set to copy on open/write, when
> each user opens the notebook, it is no longer the same notebook. It is
> now theirs. IIUC, with the cell locks, you would have users editing
> the same file, just not overwriting each others changes?
My solution was to create an account for each student, copy classroom
material into their home directory, and start a password protected
notebook server for each of them. All done automatically on linux with
this script https://github.com/Midnighter/Notebooks-Launcher
>> Relatedly and i don't know if this make sense, but is it possible
>> to have these copied
>> notebooks not show up in the directory ?
>> Ie., I have a set of examples
>> that can serve as templates, but no one is interested in seeing the
>> copies of others or new files created by others in the list.
> All this is related to multiuser capability, but in your case (and
> generally with multi user), you wish to have
> user isolated in their home. Which is not the case right now.
> Right. I give the whole server a scratch environment with limited
> Trying to get around with invisible files and so on is IMHO the
> wrong way to solve
> a bigger problem of multi-user on the same *server*. If you really
> want copy on write
> notebooks, it might be doable later when we'll have the possibly
> of choosing a backend to store
> the notebooks (PR in Progress), but I doubt this particular
> backend will be implemented by us.
> You might want to have a look at nbcloud, which run the IPython
> notebook an amazon EC2.
> With this each of your student will have its own notebook instance
> in its own Vm in the cloud.
> You could provide a small first notebook that download more
> notebooks in the current directory if needed.
> Thanks I've seen this, though it's not exactly what I have in mind.
> I'd prefer to maintain my own server. Devil's advocate here: It seems
> like to me, and maybe I'm just totally misunderstanding, but a
> notebook server that only serves well for one person is a bit of a
> misnomer. Why wouldn't I just provide different user accounts where
> people could SSH into the box with their own account and run the
>> I also saw fairly poor performance due to our server. I currently
>> have two virtual processors allocated on this machine. I'm curious
>> what others have found to be satisfactory for notebook servers (or
>> similar endeavors) with say 10-30 concurrent users. I can request
> As the notebook run as a particular user and there is non
> privileges separation, I doubt you'll find
> 30 person sharing the same account.
> With nbcloud? Currently, I do have 30 people logged in to a single box
> with the server being run by a single account.
> As for your resources problem, amazon EC2 is free for the first
> hundreds of hour I think, so your student can
> each get an account and could mess around without impacting others
>> The last thing I noticed is that the Clusters tab seemed to start and
>> assign processes on its own. At least none of the students owned
>> up to
>> setting 100 processes and clicking start. Expected? Ghost in the
>> machine? Or sneaky student?
> We never had any issues report on this,
> and the code is pretty strait forward,
> so my guess is the second one.
> Also, in my opinion, it would be great to have the first
> impressions from your students.
> Things that might look obvious from our point of view might not
> make sense at all to new user.
> So don't hesitate if you have more feedback.
> As I mentioned most of them had very little Python background. As is
> often the case, I think they took to it faster than I did to be
> honest, since I have more set ideas and context.
> Thanks again.
>  nbcloud : https://notebookcloud.appspot.com/login
>  EC2 free : http://aws.amazon.com/fr/ec2/#pricing
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I would like to change my script in a way that it sets up the accounts
on one machine but that the notebook servers that I start connect to a
remote cluster of ipython kernels so as not to overtax that one machine.
I lack the knowledge as to whether that is actually possible but with
your need as motivation and help by the awesome ipython folks I can work
Would that be a suitable scenario for you?
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