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The biggest issue facing datreant now is explaining to people working with complicated filesystems what datreant is and why it is useful.
Proposal
Add a Jupyter notebook that takes a large (and fake) sample data set and generates a treant structure from it. This would allow new users to quickly play around with the functionality without looking through the tests.
The text was updated successfully, but these errors were encountered:
I think this is a good idea. We can make an examples repo that shows how Treants can be used to analyze datasets that are disparate, which is the major thing they do.
Issue
The biggest issue facing datreant now is explaining to people working with complicated filesystems what datreant is and why it is useful.
Proposal
Add a Jupyter notebook that takes a large (and fake) sample data set and generates a treant structure from it. This would allow new users to quickly play around with the functionality without looking through the tests.
The text was updated successfully, but these errors were encountered: