p_and_q.py

 # The user will enter the population size and the number of generations in our GUI
    popsize = int(self.ui.linePopsize.text())
    numgen = int(self.ui.lineGenerations.text())
 
    # initialize some arrays
    allele = ['P' , 'Q']
    i = 0
    gen0 = []
    listP = []
    listQ = []

    # This next part randomly generates the initial population diversity. 
    # With a large population it is close to 50/50. With a small population it can be anything.
    while i < popsize:
         gen0 = gen0 + [allele[(randint(0,1))]]
         i = i+1

   # j is going to be the counter that steps through the generations
    j = 1
    prevgen = gen0

    while j < numgen+1:

        i = 0

        nextgen = []

        # This is where the magic happens.
        # Each time through the loop over the entire population we select a
        # random member of the previous generation to reproduce.
        # Effectively this means that some members will not reproduce and
        # that other members will produce multiple offspring.
        while i < popsize:
                nextgen = nextgen + [prevgen[(randint(0,popsize-1))]]
                i = i+1