Setting new variables in a while loop with calculations PYTHON -

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i'm running population model, , wrong numbers come out because i'm setting variables new values, when want use old variables, loop automatically updates , uses new ones.

juvenile_population = 10 adult_population = 10 senile_population = 1 juvenile_survival = 1 adult_survival = 1 senile_survival = 0 birth_rate = 2 generations = 5   counter = 0 while counter < generations:     juvenile_population = adult_population * birth_rate     adult_population = juvenile_population * juvenile_survival     senile_population = (adult_population * adult_survival) (senile_population * senile_survival)     total_population = juvenile_population + adult_population + senile_population        print("juvenile: ",juvenile_population)     print("adult: ",adult_population)     print("senile: ",senile_population)     print("total: ",total_population)     counter += 1

a friend said set new named variables, after 1 loop, won't same problem again? want variables update, after they've been printed, if makes sense. suggestions?

per @selcuk, use variable unpacking directly, nicer formatting looks unwieldly:

juvenile_population, adult_population, senile_population, total_population = (adult_population * birth_rate,                                                                              juvenile_population * juvenile_survival,                                                                              (adult_population * adult_survival) (senile_population * senile_survival),                                                                               juvenile_population + adult_population + senile_population)

my suggestion either write helper function, , keep "like" values in dictionary so:

populations = {'juvenile':  10,                'adult':     10,                'senile':    1                } survivals = {'juvenile':    1,              'adult':       1,              'senile':      0} birth_rate = 2 generations = 5  def update_population(pops):     juvie = pops['adult'] * birth_rate     adults = pops['juvenile'] * survivals['juvenile']     seniles = pops['adult'] * survivals['adult'] + (pops['senile'] * survivals['senile'])     return {k:v k,v in zip(['juvenile','adult','senile'],[juvie,adults,seniles])}  counter = 0 while counter < generations:     populations = update_population(populations.copy())     total_population = sum(populations.values())        print("juvenile: ",populations['juvenile'])     print("adult: ",populations['adult'])     print("senile: ",populations['senile'])     print("total: ",total_population)     counter += 1

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