but sometimes I just like having basic Python packages that I use all the time installed so I can do things like just download and launch a Jupyter notebook without installing numpy and pandas for the 100th time. I know all about package management, the reasons for using virtual environment, etc. I was originally trying to make it work without using a virtual environment. This is a great solution for sharing a notebook, but way too slow for use while coding.)įor some reason I had a really hard time making this work at first – I got endless 404 errors and never did actually find the problem. (I previously wrote instructions on using Binder and Voilà to share an existing notebook from Github. This immediate view is really needed to make development an efficient process. By which I mean making it so that one can see the notebook rendered in Voilà next to the original notebook in JupyterLab. I thought I’d make some simple instructions on getting setup to use this for development. (The code for the notebook above and a second notebook I’ve used for playing around with Voila is available on my Github.) Plus it’s fully interactive – changing the frequency slider actually reruns the code with a different value. You can see the Jupyter Lab notebook on the left and how it’s rendered with Voilà on the right. I see this as a really powerful way for data science students to communicate their results. Voilà is really slick for displaying the output for a notebook without the code. I’ve been on sort of a kick playing around with using Voilà to display Jupyter notebooks.
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