Improve your Python testing even more. In my last two articles, I introduced pytest, a library for testing Python code (see "Testing Your Code with Python's pytest" Part I and Part II). pytest has ...

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 ...