Fork It: Supporting Stateful Alternatives in Computational Notebooks
Nathaniel Weinman, Steven M. Drucker, Titus Barik, Robert A DeLine · 2021
Computational notebooks, which seamlessly interleave code with results, have become a popular tool for data scientists due to the iterative nature of exploratory tasks. However, notebooks provide a single execution state for users to manipulate through creating and manipulating variables. When exploring alternatives, data scientists must carefully create many-step manipulations in visually distant cells.