Jupyter widgets are special bits of code that will embed JavaScript and html in your notebook and present a visual representation in your brower when executed in a notebook. I’ll show you the basics in this article of building a few simple forms to view and analyze some data. This is possible with ipywidgets, also known just as widgets.
#INSTALL JUPYTER NOTEBOOK MULTIBLE USERS FULL#
It turns out you can do this pretty easily right in Jupyter, without creating a full webapp. What if you could just give the user a simple form, with a button, and they could modify the form and see the results they want? They may work great for the original developer of a notebook, but allowing a user who doesn’t undestand Python syntax to modify variables and re-execute cells may not be the best option. Those options are also prone to typing errors or lots of extra editing work. These all are non-ideal if we want quick interaction and the ability to explore the data.
Modify the same cell, execute it and view the results, then modify it again, ten times.You will end up with ten different cells with ten different values. Copy and paste a cell, changing the filter for each cell, then executing the cell.What are your options to view these ten different results? Have you ever created a Python-based Jupyter notebook and analyzed data that you want to explore in a number of different ways? For example, you may want to look at a plot of data, but filter it ten different ways.
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