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docker-data-science-environment

This repository offers a starting framework for a standardized and reproducible data science research environment. The template repository was developed by Abby Drury in the Academic Technologies department in LITS in consultation with Ben Gebre-Medhin from the Department of Sociology and Anthropology and Sarah Oelker in the Educational Technology department in LITS.

Additional information can be found in the parent project wiki.

Environment Customization and Statup

See environment/README.md

Project structure

analysis/

Notebooks and analysis to be shared between docker container and local machine.

data/

Data to be shared between docker container and local machine.

environment/

Docker related files and package lists for Python and R as well as JupyterLab plug-ins.

jupyterlab/

This is the root directory for the JupyterLab UI. By default, it will include the analysis/ and data/ directories via a symlink. This keeps the JupyterLab UI clean – environment/ and other top-level files will not appear in the left rail.