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 ...

I've written a lot about data analysis with Python recently. I wanted to explain why it's been a language of choice. Here are some of the reasons I find Python so easy to use, yet powerful. Python ...