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How to generate random numbers in Python with NumPy
Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.
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 ...
Learn how Mypy's type checking works with functions and generators. In my last two articles I've described some of the ways Mypy, a type checker for Python, can help identify potential problems with ...
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