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

compare_signal(x, y) Compares the values of the two operands numerically.

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

math.lgamma(x) Return the natural logarithm of the absolute value of the Gamma function at x.

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statistics.median()
  • References/Python/Python/Numeric & Mathematical

statistics.median(data) Return the median (middle value) of numeric data, using the common “mean of middle two” method. If data

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

random.uniform(a, b) Return a random floating point number N such that a <= N <= b for a <=

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

cmath.isfinite(x) Return True if both the real and imaginary parts of x are finite, and False

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

math.asinh(x) Return the inverse hyperbolic sine of x.

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

logical_or(other, context=None) logical_or() is a logical operation which takes two logical operands (see

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fractions.Fraction.
  • References/Python/Python/Numeric & Mathematical

__floor__() Returns the greatest

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

is_qnan() Return

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

random.random() Return the next random floating point number in the range [0.0, 1.0).

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