Re:What’s wrong with computational notebooks?
by ospohngellert on Tuesday January 28, 2020 @09:22AM
(#22169577)
I think that all the pain points of the article are a result of not using notebooks for their purpose. In my opinion, notebooks are good for:
1. POC/MVP: Showing that what you want to do will work before making a full structure.
2. Creating PDF/HTML documents with code and output.
3. Exploratory data analysis and visualization.
I think many of the data scientists in the article go well beyond what a notebook is. A notebook is where you start, but should never be a production tool.
1. POC/MVP: Showing that what you want to do will work before making a full structure. 2. Creating PDF/HTML documents with code and output. 3. Exploratory data analysis and visualization.
I think many of the data scientists in the article go well beyond what a notebook is. A notebook is where you start, but should never be a production tool.