Live applications of statistics in geoscience with Binder

1 February 2021


This is a step-by-step guide on how to turn your Jupyter notebooks into live applications by adding a remote virtual machine running in The virtual machine is automatically built in the background after you supply a list of the packages that your notebooks or scripts require.


Although, my main objective was not writing, or develop, on how to convert Jupyter notebooks to running applications, but rather convert the Jupyter JSON format to Rmarkdown, and then be able to run them from remote sessions of RStudio and RShiny, it was difficult to ignore the value that live Jupyter notebooks would bring to Python users. So, this is a by-product, or a side-effect, of my efforts of making Jupyter more reproducible through Rmarkdown.

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