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

exp(context=None) Return the value of the (natural) exponential function e**x at the given number. The result is

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

random.setstate(state) state should have been obtained from a previous call to getstate(), and setstate()

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

next_toward(other, context=None) If the two operands are unequal, return the number closest to the first operand in the direction

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

cmath.isnan(x) Return True if either the real or the imaginary part of x is a NaN, and False

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

math.degrees(x) Convert angle x from radians to degrees.

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

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

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

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

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

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

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

clear_flags() Resets all of the flags to 0.

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decimal.Inexact
  • References/Python/Python/Numeric & Mathematical

class decimal.Inexact Indicates that rounding occurred and the result is not exact. Signals

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