decimal.Decimal.fma()
  • References/Python/Python/Numeric & Mathematical

fma(other, third, context=None) Fused multiply-add. Return self*other+third with no rounding of the intermediate product self*other

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random.expovariate()
  • References/Python/Python/Numeric & Mathematical

random.expovariate(lambd) Exponential distribution. lambd is 1.0 divided by the desired mean. It should be nonzero

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random.betavariate()
  • References/Python/Python/Numeric & Mathematical

random.betavariate(alpha, beta) Beta distribution. Conditions on the parameters are alpha > 0 and beta

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decimal.Decimal.is_nan()
  • References/Python/Python/Numeric & Mathematical

is_nan() Return

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decimal.Context.radix()
  • References/Python/Python/Numeric & Mathematical

radix() Just returns 10, as this is Decimal, :)

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decimal.Context.logical_or()
  • References/Python/Python/Numeric & Mathematical

logical_or(x, y) Applies the logical operation or between each operand’s digits.

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math.modf()
  • References/Python/Python/Numeric & Mathematical

math.modf(x) Return the fractional and integer parts of x. Both results carry the sign of x and are floats

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decimal.Context.canonical()
  • References/Python/Python/Numeric & Mathematical

canonical(x) Returns the same Decimal object x.

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decimal.Context.is_subnormal()
  • References/Python/Python/Numeric & Mathematical

is_subnormal(x) Returns True if x is subnormal; otherwise returns False.

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cmath.polar()
  • References/Python/Python/Numeric & Mathematical

cmath.polar(x) Return the representation of x in polar coordinates. Returns a pair (r, phi) where r

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