Hello, I often use this package to analyse data from experiments, and I usually have a list of measurements of a variable. These measurements are usually normally distributed. So I combine them using the mean as the true value and the sample standard deviation divided by the square root of the number of measurements as the standard deviation of the mean. Something like this:
value=ufloat(numpy.mean(sample),numpy.std(sample,ddof=1)/numpy.sqrt(len(sample)))

In an attempt to save myself and hopefully a few others some time, would it be suitable to add a function uncertainties.unumpy.ufloat_from_sample()

ps I'm new to contributing to open source so if I've made any faux pas, I'm sorry.