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 ...
Package Python apps for easy delivery as executables, dig into Python 3.14's new debugging interface, and get live coding help for making sense of datasets. Want extra credit? Try wrangling Python ...
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