[smortaz]

Very nice!

Please consider uploading it to

Http://notebooks.azure.com

It's a free service for running and sharing Jupyter notebooks. That way the can run it immediately w/on installing anything (has anaconda).

Lots of teachers are using it. For example:

Http://notebooks.azure.com/richie

Disclaimer: I work on this :)

[mikkokotila]

Thanks, this seems exactly what I was looking for! One question though, all demos I looked at had 'run' disabled. Is there some 'catch' to this?

[existencebox]

I'll chime in here (Disclaimer, also dev for the Azure Notebooks team, etc etc)

If you want to alter/play around with the demo, you can "clone" the sample library, which will prompt you to create an account if you have not. This process is free/noncommittal/just requires an email address, but lets us create an env + storage for you to run and persist it in. Post-cloning, you can run any library you own like you would expect.

[zarify]

Nifty, thanks for posting this. I've started using Jupyter Notebooks with my (high school) technologies students this year.

I can see this being particularly useful since our sector is shifting everything into the MS cloud, so we can re-use our school credentials, and I can also stop worrying about having to make sure programming environments are installed on student images and so on.

[mcintyre1994]

Hey! A while ago someone from Azure posted that you guys were working on a ML course based around Azure notebooks, do you know anything about that?

[smortaz]

Hi. My team basically runs the service - we don't provide much content. We rely on other domain experts to do that. We'll soon start highlighting some great notebooks on the front page however, especially ML related.

[stuaxo]

This is probably a really stupid question -

This is the second time I've looked at this, and I still can't work out how to create a notebook.

[smortaz]

Not stupid at all. They UI can certainly improve, suggestions welcome :).

1. Sign in (top right)

2. Click "Get Started" to clone existing sample Library of notebooks - (a library is like a Project or Repo)

3. Click clone - this will give you your own copy of the Library

4. Click Run (this will give you a docker container with a bunch of pkgs. you can add your own pkgs).

To start from scratch

1. Sign in

2. +New Library. Give it a name or load a full Github repo including all its data)

3. Once in the Library, +New Notebook (or load a notebook from your machine)

4. Click the new notebook name or Run to land in your docker instance.

Hope this helps!