experimental.random_extras

Additional random functions that are part of standard Python3’s random module but are omitted from MicroPython’s implementation

Specifically _not_ called “random.py” to prevent clobbering the standard random import in other experimental libraries

experimental.random_extras.normal(mean=0.0, stdev=1.0)

Generate a random number with a normal distribution

Uses the Marsaglia-Tsang algorithm, which isn’t a perfectly normal distribution, but is likely close enough for EuroPi applications

Parameters

• mean – The desired mean for the distribution

• stdev – The standard deviation of the distribution

Returns

A floating-point number chosen from a normal distribution with the given mean and standard deviation

experimental.random_extras.shuffle(l)

Re-order the elements of a list in-situ

Parameters

l – The list to shuffle