My understanding is that webpack is used, but that’s based on the tutorials I
read. Have I got that right?
thanks,
-steve
> On May 22, 2018, at 10:02 AM, John <johnco...@shaw.ca> wrote:
>
> 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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