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

exp(x) Returns e ** x.

2025-01-10 15:47:30
statistics.median_grouped()
  • References/Python/Python/Numeric & Mathematical

statistics.median_grouped(data, interval=1) Return the median of grouped continuous data, calculated as the 50th percentile

2025-01-10 15:47:30
math.pow()
  • References/Python/Python/Numeric & Mathematical

math.pow(x, y) Return x raised to the power y. Exceptional cases follow Annex ‘F’ of the C99 standard

2025-01-10 15:47:30
numbers.Complex
  • References/Python/Python/Numeric & Mathematical

class numbers.Complex Subclasses of this type describe complex numbers and include the operations that work on the built-in

2025-01-10 15:47:30
decimal.Context.clear_traps()
  • References/Python/Python/Numeric & Mathematical

clear_traps() Resets all of the traps to 0.

2025-01-10 15:47:30
math.erf()
  • References/Python/Python/Numeric & Mathematical

math.erf(x) Return the

2025-01-10 15:47:30
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 <=

2025-01-10 15:47:30
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

2025-01-10 15:47:30
random.random()
  • References/Python/Python/Numeric & Mathematical

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

2025-01-10 15:47:30
math.exp()
  • References/Python/Python/Numeric & Mathematical

math.exp(x) Return e**x.

2025-01-10 15:47:30