New method of numpy RNG?

[SJaffa]

programming_with_python/_episodes/03-numpy_essential.md

Line 212 in 19edfb7

noisy = np.random.normal(g, scale=g.max() / 10)

Shopuld we replace with the new recommended method for RNG to teach the most up to date best practices?

[SJaffa]

Also it's a bit unclear what we are doing in this one line - we are generating a number of normally distributed random values, where the number of values is the same as the length of g and the mean is the value of that index of g? Might me best to generate the random numbers separately with mean zero, and then add them to g to make this clearer.