For classic jupyter notebook, vpython is copying javascript files to the
nbextensions directory by calling the routine
notebook.nbextensions.install_nbextension()
from the vpython package directory. (site-packages/vpython/vpython_libraries/)
. These javascript files are loaded into the notebook from the nbextensions
directory using ipython display method along with requirejs.
display(Javascript("""require(["nbextensions/vpython_libraries/glowcomm"],
function(){console.log("GLOWCOMM LOADED");})"""))
This works in classic jupyter notebook but not in Jupyterlab . Does
jupyterlab use the nbextensions directory or does it is place javascript
fles in a different directory. What should be used in place of requirejs to
load javascript files?
On Tuesday, May 22, 2018 at 6:11:57 AM UTC-7, Steve Spicklemire wrote:
>
> Hi Jupyter folks,
>
> I'm hoping to carve out some time in the next few weeks to make some
> serious progress on a jupyterlab compatible version of vpython (
> http://vpython.org).
>
> The jupyter notebook interaction of vpython involves opening a
> communication channel (ipykernel.comm.Comm) between the kernel process and
> a javascript program running in the browser handling the display. The
> javascript code is currently embedded in the python package
> (site-packages/vpython/vpython_libraries/)
> and transferred into nbextensions on demand and then pulled into the
> notebook using ipython.display.display.
>
> It has been suggested that this whole scheme needs to be redesigned under
> jupyterlab. I'm hoping to begin that design process now, but being new to
> jupyterlab, I'm not really sure where to begin. I did read through the
> tutorials for jupyterlab extensions, but I'm not clear what sort of
> extension would be needed here since it doesn't seem to exactly match the
> use cases described in the exam extensions. I'd love some input from any
> jupyterlab veterans about how we should go about planning/building this.
> Ideally users would be able to take code that works in the jupyter
> notebook, and run it unchanged in jupyterlab.
>
> something like:
>
> -------
> from vpython import *
>
> s=sphere()
>
> --------
>
> without needing any magics or other python code if possible.
>
> thanks,
> -steve
>
>
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