Plainbook: Data Science, in Plain Language
Jupyter Notebooks have become widely adopted in data science, as they allow the sharing of reproducible computational analysis. They are, however, accessible only to people who understand computer code. To reach the broader audience of scientists interested in data analysis and computation, but unfamiliar with code, we introduce Plainbook, notebooks centered on natural language rather than code. Plainbook is based on two principles: promote the natural language descriptions, and verify the values. In plainbook, the natural language descriptions are preserved, rather than the resulting code; the code is generated automatically from the cell descriptions. As natural language is read top to ...
| Authors | Luca de Alfaro, Mathis Aubert, Ranjit Jhala et al. |
|---|---|
| Primary category | cs.HC |
| Published | 7 July 2026 |
| Last updated at source | 7 July 2026 |
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