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Abstract:
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JupyterLab is a browser-based coding interface that has become very popular in the data science community. You can use this open-source interface to generate dynamic notebooks that easily incorporate code and results into documents such as course materials and analytical reports. The ability to seamlessly interweave code, results, narrative text, and mathematical formulas all into one document provides students with practical experience in creating reports and effectively communicating results. In addition, the use of an executable document facilitates collaboration and promotes reproducible research and analyses. This presentation describes JupyterLab, discusses examples of using it to teach data science, and provides tips.
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