As sibling says, it is a very good way to explore data and also iterate on design for script and document them.

Two examples from a previous work experience (remote sensing) :

(1) A colleague where creating SSH tunnel to create and explore data with the Jupyter process was on the calculation server. He was able to launch heavy calculation, fast-feedback loop for satellite images and shapefiles, manipulate the results and write the explanation next to each cell. As you would use a real notebook in fact. I had the same workflow and when I realized that the script will be used more than once, I moved the code to python script with command-line arguments support (just plug-in `argparse` to the script) and moved the text to comment the script.

(2) Teaching, we held seminar about different API and tools and used jupyter notebooks to teach everyone. The fast feedback loop was essential for anything with figures, plots, images, etc.

Pluto.jl while not yet perfect for me address a lot of broken things that made using Jupyter notebook driving me crazy (I had to broke my cells in a way that I can rerun everything when needed to update the global space, it was aweful).