Jupyter notebooks---documents that contain live code, equations, visualizations, and
narrative text---now are among the most popular means to compute, present, discuss and …

By bringing together code, text, and examples, Jupyter notebooks have become one of the
most popular means to produce scientific results in a productive and reproducible way. As …

Jupyter Notebooks have been widely adopted by many different communities, both in
science and industry. They support the creation of literate programming documents that …

Jupyter Notebooks have been widely adopted by many different communities, both in
science and industry. They support the creation of literate programming documents that …

More than ninety percent of published Jupyternotebooks do not state dependencies on
external packages. This makes them non-executable and thus hinders reproducibility of …

Computational notebooks such as Jupyter are now used by millions of data scientists,
machine learning engineers, and computational researchers to do exploratory and end-user …

As scientific work becomes more computational and data-intensive, research processes and
results become more difficult to interpret and reproduce. In this poster, we show how the …

Background Jupyter notebooks facilitate the bundling of executable code with its
documentation and output in one interactive environment, and they represent a popular …

Computational notebooks have seen widespread adoption among scientists in many fields,
and allow users to view interactive graphical results inline, to embed text and code together …

Duplicating one's own code makes it faster to write software. This expediency is particularly
valuable for users of computational notebooks. Duplication allows notebook users to quickly …