Python has some wonderful libraries for statistical analysis, but they might be overkill for simple tasks. The built-in statistics library might be what you want instead. Here are some things you can ...

Anybody who has ever taken a numerical analysis course understands that floating-point arithmetic on computers is a messy affair. Even so, it is easy to underestimate just how messy things can be.

NaNs are defined in the IEEE 754 floating-point standard, which Python follows, as special values for quantities that cannot be represented by the hardware. This can happen as a result of operations ...