Archives Unleashed Cloud: Jupyter Notebooks
Jupyter notebooks to assist in creating additional analysis and visualizations of Archives Unleashed Cloud derivatives.
Requirements
Anaconda Distribution is very helpful here.
- Python 3.7+
- Jupyter Notebook (1.0.0)
- matplotlib (3.0.2)
- numpy (1.15.1)
- pandas (0.23.4)
- networkx (2.2)
- nltk (3.4)
Usage
We suggest using Docker, or Anaconda Distribution.
Docker Hub
docker run --rm -it -p 8888:8888 archivesunleashed/auk-notebooks
Docker Locally
git clone https://github.com/archivesunleashed/auk-notebooks.git
cd auk-notebooks
docker build -t auk-notebook .
docker run --rm -it -p 8888:8888 auk-notebook
This repository comes with sample data, you can swap out the sample data with your own Archives Unleashed Cloud data.
docker run --rm -it -p 8888:8888 -v "/path/to/own/data:/home/jovyan/data" auk-notebook
This repository also uses the Jupyter Docker Stacks, which provide a lot of helpful options to take advantage of.
Local (Anaconda)
git clone https://github.com/archivesunleashed/auk-notebooks.git
cd auk-notebooks
jupyter notebook
License
This application is available as open source under the terms of the Apache License, Version 2.0.
Acknowledgments
This work is primarily supported by the Andrew W. Mellon Foundation. Any opinions, findings, and conclusions or recommendations expressed are those of the researchers and do not necessarily reflect the views of the sponsors.