Ishita Prasad

What's Wrong with Computational Notebooks? Pain Points, Needs, and Design Opportunities

Computational notebooks — such as Azure, Databricks, and Jupyter — are a popular, interactive paradigm for data scientists to author code, analyze data, and interleave visualizations, all within a single document. Nevertheless, as data scientists incorporate more of their activities into notebooks, they encounter unex…