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.

While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...

Plotters is a drawing library designed for rendering figures, plots, and charts, in pure Rust. Plotters supports various types of back-ends, including bitmap, vector graph, piston window, GTK/Cairo ...

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