Want to add a little unpredictability to your Python code? The random module is the quickest way to do it. From generating numbers and shuffling lists to simulating real-world randomness, it's one of ...

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 ...