https://github.com/archivesunleashed/notebooks

Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.
https://github.com/archivesunleashed/notebooks

juypter-notebook notebooks pyspark-notebook python3 spark web-archives

Last synced: about 2 months ago
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Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.

• Host: GitHub
• URL: https://github.com/archivesunleashed/notebooks
• Owner: archivesunleashed
• License: apache-2.0
• Created: 2019-11-06T03:09:30.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-12-05T21:05:56.000Z (over 1 year ago)
• Last Synced: 2024-04-24T12:19:58.939Z (2 months ago)
• Topics: juypter-notebook, notebooks, pyspark-notebook, python3, spark, web-archives
• Language: Jupyter Notebook
• Homepage:
• Size: 49.1 MB
• Stars: 21
• Watchers: 6
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-web-archiving - Archives Unleashed Notebooks - Notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit. *(Stable)* (Tools & Software / Analysis)
• awesome-web-archiving - Archives Unleashed Notebooks - Notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit. (Stable) (Tools & Software / Analysis)
• awesome-digital-preservation - AUT Notebooks - Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit. (Replay tools / Analysis and data processing)

README

        
# Archives Unleashed Notebooks

Contains various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.

## License

Licensed under the [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0).

## Acknowledgments

This work is primarily supported by the [Andrew W. Mellon Foundation](https://mellon.org/). Other financial and in-kind support comes from the [Social Sciences and Humanities Research Council](http://www.sshrc-crsh.gc.ca/), [Compute Canada](https://www.computecanada.ca/), the [Ontario Ministry of Research, Innovation, and Science](https://www.ontario.ca/page/ministry-research-innovation-and-science), [York University Libraries](https://www.library.yorku.ca/web/), [Start Smart Labs](http://www.startsmartlabs.com/), and the [Faculty of Arts](https://uwaterloo.ca/arts/) and [David R. Cheriton School of Computer Science](https://cs.uwaterloo.ca/) at the [University of Waterloo](https://uwaterloo.ca/).

Any opinions, findings, and conclusions or recommendations expressed are those of the researchers and do not necessarily reflect the views of the sponsors.