pandas

Explains how to one-hot encode list values stored in a pandas column using scikit-learn's MultiLabelBinarizer and merge the result back into the original DataFrame.

Explains how to expand equal-length lists stored in a pandas column into separate columns using apply with pd.Series, combined with pop and join.

Shows how to use matplotlib-venn's venn2 and venn3 functions to create Venn diagrams that visualize overlaps between two or three datasets during EDA.

Compares two ways to extract groupby results in pandas and shows that iterating directly over the groupby object is significantly faster than filtering by each unique value.