Support of plotly endpoint thorugh plotly token

I need to figure how to incorporate a checkbox type into a dialog modal box in jquery syntax

Refs:

• dialog modal jquery docs
• The btns don't do anything, there's just aesthetics source
• HTML checkbox elements
• jquery checkbox

As of right now the jupyter extension needs to be enabled manually after installing nb2medium via pip:

to install in current conda or virtuale environment:

jupyter nbextension install nb2medium --py --sys-prefix
jupyter nbextension enable nb2medium --py --sys-prefix

And it can be run without --sys-prefix to install system wide.

I know there are ways to have the extension installed, and enabled by default (as jupytext does) but I haven't figured it out.

docs

Try:

const executePython = function(python) {
    return new Promise((resolve, reject) => {
        var callbacks = {
            iopub: {
                output: (data) => resolve(data.content.text.trim())
            }
        };
        Jupyter.notebook.kernel.execute(`print(${python})`, callbacks);    
    });
}

const myNewf = async(python) => {
const myRes = await executePython(python)
return myRes
}  

Medium does not support markdown tables which is a big shame, maybe it supports
html tables but I really am not sure. Also when a markdown the pandas table in
the tests/test-notebook.ipynb does not get rendered in the posted Medium
article.

Solution to implement extend gist functionality to upload dataframes as csvs

Fixed by commenting out the URL prettifying: fastai/nbdev#219

Jupyter notebook extensions and JupyterLab extensions work completely differently. JavaScript is disabled in JupyterLab so the extensions there are writtten in TypeScript. Being very new to the *Script languages, getting to build this extension would take me some time. If you have experience building a JupyterLab extension, I would really appreciate if you help me build an extension similar to the jupyter Notebook one.

As of this issue, the ImagePreprocessor replaces the source code that generates
plots with the image URLs and then turns the the cell into a markdown cell for
rendering. This should not be the default behaviour.

Solution create an extra markdown cell under the source including all images
generated

Use fastcore call_parse decorator for this

Sometimes articles combine several languages (python and bash or R, etc) and I'll like the gist tag to be used in markdown cells so that any gists can be uploaded. gists are not always present in articles to be executed, sometimes a writer may just want to display how to do a certain setup for which you may need bash highlighting but the rest of the notebook is written in python