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Jupyter notebooks have become a widely used standard for sharing modest data workflows. In this month���s community call, we will talk about how people extend notebooks beyond the standard uses. What creative ways have you come up with to get most of your notebooks? How far can you go before needing a different technology stack? Join us to share your experiences! Nicole Brewer will kick things off with a quick introduction to using notebooks to deploy standalone web applications. She will discuss how she uses JupyterLab + nbdev to approximate an IDE and hidden advantages that manifest when developing widget-based apps in that environment. Learn about how this approach makes the codebase more modular, reusable, readable, and inheritable by the research labs that use them.
Jupyter Notebooks, nbdev, Voila, web applications
Jupyter Notebooks, nbdev, Voila, web applications
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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