Papyri: better documentation for the scientific ecosystem in Jupyter

Matthias Bussonnier (1) , Camille Carvalho (2, 3, 4)

1 Quansight LLC
2 UC Merced - University of California [Merced]
3 ICJ - Institut Camille Jordan
4 MMCS - Modélisation mathématique, calcul scientifique

We present here the idea behind Papyri, a framework we are developing to provide a better documentation experience for the scientific ecosystem. In particular, we wish to provide a documentation browser (from within Jupyter or other IDEs and Python editors) that gives a unified experience, cross library navigation search and indexing. By decoupling documentation generation from rendering we hope this can help address some of the documentation accessibility concerns, and allow customisation based on users' preferences.

Mots clés: Index Terms-Documentation; Jupyter; ecosystem; accessibility

Domaines: Informatique [cs]

Matthias Bussonnier, Camille Carvalho. Papyri: better documentation for the scientific ecosystem in Jupyter. Python in Science Conference, Jul 2022, Austin, United States. pp.75-82, ⟨10.25080/majora-212e5952-00c⟩. ⟨hal-03744715⟩