This repository contains examples of using Python data science tools to undertake exploratory data analysis on metadata from Cambridge Digital Library's Cairo Genizah collection.
Click the launch binder button above to open the notebooks immediately in your browser.
You can download the notebooks and interact with them in Jupyter Lab on your own computer.
You'll need Python 3.5+ and pipenv installed.
Clone the repository, then run pipenv run jupyter lab from the checked-out
repository root. Jupyter Lab will open in your browser. Navigate to the
notebooks directory and go through the .ipynb files, starting
from 01-data-extraction.ipynb.