Analyze sales.csv: pd.read_csv loads; df[df.price>100] filters; df.groupby('region').sales.sum() aggregates; df.merge(customers) joins. Numpy: np.array([1,2,3])*2 vectorizes (no loops); arr.mean(), arr.reshape(). Vectorized ops run in C: 100x faster than Python loops.