Some python number modules

`math`	main module for mathematical computations >>> import math >>> math.cos(math.pi / 4) 0.70710678118654757 >>> math.log(1024, 2) 10.0
`random`	You can use this module to generate random values. >>> import random >>> random.choice(['apple', 'pear', 'banana']) 'apple' >>> random.sample(range(100), 10)   # sampling without replacement [30, 83, 16, 4, 8, 81, 41, 50, 18, 33] >>> random.random()    # random float 0.17970987693706186 >>> random.randrange(6)    # random integer chosen from range(6) 4
`statistics`	Module for statistical calculation >>> import statistics >>> data = [2.75, 1.75, 1.25, 0.25, 0.5, 1.25, 3.5] >>> statistics.mean(data) 1.6071428571428572 >>> statistics.median(data) 1.25 >>> statistics.variance(data) 1.3720238095238095
`decimal`	Can be used by applications that requires precise calculations. This calculates 5% tax on a 70 cent phone. >>> from decimal import * >>> round(Decimal('0.70') * Decimal('1.05'), 2) Decimal('0.74') >>> round(.70 * 1.05, 2) 0.73 Performs modulo calculations and equality test that are unsuitable for binary float point. >>> Decimal('1.00') % Decimal('.10') Decimal('0.00') >>> 1.00 % 0.10 0.09999999999999995 >>> sum([Decimal('0.1')]*10) == Decimal('1.0') True >>> sum([0.1]*10) == 1.0 False Performs very precise calculations. >>> getcontext().prec = 36 >>> Decimal(1) / Decimal(7) Decimal('0.142857142857142857142857142857142857')
functools	>>> from functool import reduce >>> reduce(lambda x, y: x + y, [1, 2, 3, 4, 5]) 15 >>>