During this period, there have been three main categories of data work: business intelligence, machine learning, and exploratory analytics. Of the three, exploratory analytics is the least developed so far. (View Highlight)
Jupyter Notebooks are often the tools of choice for exploration, but they suffer from notable shortcomings. Sharing is cumbersome, reproducing or rerunning analyses is brittle, and the technical barriers of adoption are needlessly high. Despite these rough edges, millions continue to use notebooks daily to analyze data. (View Highlight)
