math.hypot(x, y) Return the Euclidean norm, sqrt(x*x + y*y). This is the length of the vector from the origin to

decimal.setcontext(c) Set the current context for the active thread to c.

statistics.median_low(data) Return the low median of numeric data. If data is empty, StatisticsError is

shift(x, y) Returns a shifted copy of x, y times.

math.ldexp(x, i) Return x * (2**i). This is essentially the inverse of function frexp().

statistics.mode(data) Return the most common data point from discrete or nominal data. The mode (when it exists) is

create_decimal(num) Creates a new Decimal instance from num but using self as context. Unlike the Decimal

copy_negate(x) Returns a copy of x with the sign inverted.

copy() Return a duplicate of the context.

next_minus(context=None) Return the largest number representable in the given context (or in the current thread’s context if