math.log1p(x) Return the natural logarithm of 1+x (base e). The result is calculated in a way which is accurate

remainder_near(other, context=None) Return the remainder from dividing self by other. This differs from self

cmath.sin(x) Return the sine of x.

to_integral_value(rounding=None, context=None) Round to the nearest integer without signaling Inexact or Rounded

class decimal.Underflow Numerical underflow with result rounded to zero. Occurs when a subnormal

is_normal(x) Returns True if x is a normal number; otherwise returns False.

cmath.asin(x) Return the arc sine of x. This has the same branch cuts as acos().

random.gauss(mu, sigma) Gaussian distribution. mu is the mean, and sigma is the standard deviation. This is

random.lognormvariate(mu, sigma) Log normal distribution. If you take the natural logarithm of this distribution, you’ll get

statistics.pvariance(data, mu=None) Return the population variance of data, a non-empty iterable of real-valued numbers