If you read what they think the problems to solve are, you will get it. small edits to code yield enormous Git diffs; code is copy-pasted across notebo

If you read what they think the problems to solve are, you will get it. small edits to code yield enormous Git diffs; code is copy-pasted across notebooks, instead of reused; magic commands limit the portability of notebook code; logic that would be useful as a script or library gets thrown away; logic that should be tested almost never is. These are problems primarily a software engineer has. Not problems a scientist thinks are important. If you asked a scientist to list problems with Jupyter notebooks (and there are many), it would be very different list, primarily about science.