fractions.Fraction.from_float()
  • References/Python/Python/Numeric & Mathematical

from_float(flt) This class method constructs a Fraction representing the exact value of flt, which must

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

math.fmod(x, y) Return fmod(x, y), as defined by the platform C library. Note that the Python expression x

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

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

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

random.triangular(low, high, mode) Return a random floating point number N such that low <= N <= high

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

ln(context=None) Return the natural (base e) logarithm of the operand. The result is correctly rounded using the ROUND_HALF_EVEN

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

divmod(x, y) Divides two numbers and returns the integer part of the result.

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

max_mag(x, y) Compares the values numerically with their sign ignored.

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

to_eng_string(context=None) Convert to a string, using engineering notation if an exponent is needed.

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

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

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

statistics.median_high(data) Return the high median of data. If data is empty, StatisticsError is raised

2025-01-10 15:47:30