Hi,
As far as Jupyter components go, the basic nbconvert install only requires
the jupyter_core package. Jupyterhub is unrelated to your use-case. Using
pip or conda to install nbconvert will pull in the bits you need
automatically.
If you are simply planning to render prepared notebooks to
Hi all,
I am trying to implement in my website an online, on-the-fly converter of
notebooks which I figured should be working something like this:
1) I compute and save my notebook (with images, base64) on some (local or
virtual) machine;
2) I go to my website (Wordpress), I start a new page
3)
A GET on the user shows their server status(es). If the user is not
running, the server value will be null. If it is running, the server value
will be the URL of the running server.
The below results are with the named-servers extension enabled. If it is
not enabled, then the servers key may be
Hi Thomas,
Thanks for the heads up, this is nice description. I think it's a good
idea to add this extra line of defense, and a flag to disable it with a big
warning, to give some people the time to upgrade the ability to update the
notebook server without deploying a large change to their
