The Pros and Cons of Using Jupyter Notebooks as Your Editor for Data Science Work

When prototyping, the cell-based approach of Jupyter notebooks is great. But you quickly end up programming several steps -- instead of looking at object-oriented programming. When we're writing code in cells instead of functions/classes/objects, you quickly end up with duplicate code that does the same thing, which is very hard to maintain. Don't get the support from a powerful IDE. There's also a tricky problem related to plotting.