NumPy is the backbone of Python’s data science stack, offering lightning-fast array operations, rich statistical functions, and powerful optimization techniques. By mastering vectorization, ...

Use NumPy's RNG to make random arrays for quick testing of stats functions. Generate normal data and set mean/std by adding and scaling; visualize with Seaborn. Run regressions and correlations ...