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A README file for the lecture on 2018-10-20

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VVioletVivirand
Last edited Oct 19, 2018
Created on Oct 19, 2018

This example is a lecture README for a 2018 Pandas course, showing how a single gist organizes teaching materials, dependencies, documents, and a post-class survey. It demonstrates the use of Python libraries—Jupyter Lab, NumPy, Pandas, Matplotlib, Scikit-learn, and Graphviz—for data processing, visualization, and a decision-tree machine learning exercise. The text details installation via pip, conda, or pipenv, and links to tutorial notebooks, slides, and cheatsheets. The rendering approach is plain Markdown, with no interactive or programmatic visualization code present.

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