Question

how do you code a psuedo-random probability(%) in python? please provide an example.

Answer 1

While pseudo-random numbers are produced by a deterministic algorithms, we can generally regard them as though they were genuine irregular numbers and we will drop the "pseudo" prefix. Essentially, the calculation creates irregular numbers which are then standardized to give a drifting point number from the standard uniform conveyance. Irregular numbers from different conveyances are thusly created utilizing these uniform arbitrary goes amiss, either by means of general (converse change, acknowledge/reject, blend portrayals) or concentrated specially appointed (for example Box-Muller) techniques.

Creating standard uniform arbitrary numbers

Linear congruential generators (LCG)

mod m

Hull-Dobell Theorem: The LCG will have a full period for all seeds if and just if

c and m are generally prime,

a−1 is separable by all prime elements of m

a−1 is different from 4 if m is various of 4.

The number z0 is known as the seed, and setting it permits us to have a reproducible succession of "arbitrary" numbers. The LCG is normally coded to restore z/m, a skimming point number in (0, 1). This can be scaled to some other range (a,b).

import random
def coin_trial():
heads = 0
for i in range(100):
if random.random() <= 0.5:
heads +=1
return heads
def simulate(n):
trials = []
for i in range(n):
trials.append(coin_trial())
return(sum(trials)/n)

n=int(input())