The DOI matches its Crossref record.
Jupyter Notebooks – a publishing format for reproducible computational workflows
Open accessAbstract
It is increasingly necessary for researchers in all fields to write computer code, and in order to reproduce research results, it is important that this code is published. We present Jupyter notebooks, a document format for publishing code, results and explanations in a form that is both readable and executable. We discuss various tools and use cases for notebook documents.
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Citations
Cited by
Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N. J., et al. (2020) · Nature · doi:10.1038/s41586-020-2649-2 · Cited by 23,826
“The combination of NumPy, SciPy, and Matplotlib, together with an advanced interactive environment like IPython [21], or Jupyter [22], provides a solid foundation for array programming in Python.”
BackgroundSciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2019) · Apollo - University of Cambridge Repository · doi:10.17863/cam.64134 · Cited by 10,460
ColabFold - Making protein folding accessible to all
Mirdita, M., Schütze, K., Moriwaki, Y., Heo, L., Ovchinnikov, S., & Steinegger, M. (2021) · doi:10.1101/2021.08.15.456425 · Cited by 9,391
Larian Studios Dev Team (2024) · doi:10.1145/3292500.3330701 · Cited by 8,618
“The user of Optuna can also conduct more involved analysis by exporting the results in the pandas [21] dataframe, which is highly compatible with interactive analysis frameworks like Jupyter Notebooks [22].”
MethodCellpose: a generalist algorithm for cellular segmentation
Stringer, C., Wang, T., Michaelos, M., & Pachitariu, M. (2021) · Nature Methods · doi:10.1038/s41592-020-01018-x · Cited by 4,369
Metadata
- Authors
- Thomas, K., Benjamin, R.-K., Fernando, P., Brian, G., Matthias, B., Jonathan, F., Kyle, K., Jessica, H., Jason, G., Sylvain, C., Paul, I., Damián, A., Safia, A., Carol, W., & Jupyter Development Team
- Venue
- Positioning and Power in Academic Publishing: Players, Agents and Agendas
- Publisher
- IOS Press
- Published
- 2016
- OpenAlex
- W2472803348
- Cited by
- 3,063
- References
- 0
- FWCI
- 540.26
- Type
- book chapter
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: Jupyter Notebooks – a publishing format for reproducible computational workflows. https://app.cochat.ai/papers/10.3233/978-1-61499-649-1-87
- The paper
- Thomas, K., Benjamin, R.-K., Fernando, P., Brian, G., Matthias, B., Jonathan, F., Kyle, K., Jessica, H., Jason, G., Sylvain, C., Paul, I., Damián, A., Safia, A., Carol, W., & Jupyter Development Team. (2016). Jupyter Notebooks – a publishing format for reproducible computational workflows. Positioning and Power in Academic Publishing: Players, Agents and Agendas. https://doi.org/10.3233/978-1-61499-649-1-87
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
