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@ -299,7 +299,6 @@ Applications Using Provenance},
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howpublished={https://github.com/stitchfix/nodebook}
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}
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@book{WV02,
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Author = {Weikum, G. and Vossen, G.},
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Date-Added = {2008-04-08 16:42:46 +0200},
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@ -13,8 +13,6 @@ Additionally, our approach allows parallel execution of independent cells, somet
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Nodebook~\cite{nodebook} is a plugin for Jupyter that checkpoints notebook state in between cells to force in-order cell evaluation; Although closely related to our approach, it does not attempt parallelism, nor automatic re-execution of cells.
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\cite{chapman-20-cqfgppp} captures fine-grained provenance at runtime for common classes of relational data transformations in Python preprocessing pipelines. In contrast our approach utilizes static analysis. % and is not limited to operations on relational datasets.
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% \begin{itemize}
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% \item Provenance for jupyter or Python
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% \item Dataflow analysis / program slicing
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