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Documenting Reproducible Research with Jupyter Notebooks

This workshop will introduce Jupyter Notebooks, a platform for interactive computational research and data science. Jupyter Notebooks interweave code, data, and prose into an executable "notebook" that can be published or shared. Jupyter Notebooks are also a powerful tool for teaching programming, data science, and computational literacy. This workshop introduce participants to the Jupyter project (https://jupyter.org/), how to author Notebooks, and how to publish and share them on Github.

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To run this on your local machine, install docker and then execute the following command: docker run -it -v "$(pwd):/home/jovyan/work" -p 8888:8888 jupyter/datascience-notebook

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