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| class BankAccount: | |
| def __init__(self, name, amt): | |
| self.name = name | |
| self.amt = amt | |
| def __str__(self): | |
| return 'Your account, {}, has {} dollars.'.format(self.name, self.amt) | |
| t1 = BankAccount('Bob',100) |
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| class AppleBasket: | |
| def __init__(self, color, qty): | |
| self.apple_color = color | |
| self.apple_quantity = qty | |
| def increase(self): | |
| self.apple_quantity += 1 | |
| def __str__(self): | |
| return 'A basket of {} {} apples.'.format(self.apple_quantity,self.apple_color) |
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| class Bike: | |
| def __init__(self,col,pr): | |
| self.color = col | |
| self.price = pr | |
| testOne = Bike('blue',89.99) | |
| testTwo = Bike('purple',25.0) | |
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| species = ['golden retriever', 'white tailed deer', 'black rhino', 'brown squirrel', 'field mouse', 'orangutan', 'sumatran elephant', 'rainbow trout', 'black bear', 'blue whale', 'water moccasin', 'giant panda', 'green turtle', 'blue jay', 'japanese beetle'] | |
| population = [10000, 90000, 1000, 2000000, 500000, 500, 1200, 8000, 12000, 2300, 7500, 100, 1800, 9500, 125000] | |
| pop_info = zip(species,population) | |
| endangered = [x1 for x1,x2 in pop_info if x2< 2500] |
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| t = [] | |
| other = [] | |
| athletes = [['Phelps', 'Lochte', 'Schooling', 'Ledecky', 'Franklin'], ['Felix', 'Bolt', 'Gardner', 'Eaton'], ['Biles', 'Douglas', 'Hamm', 'Raisman', 'Mikulak', 'Dalton']] | |
| for lst in athletes: | |
| for name in lst: | |
| if 't' in name: | |
| t.append(name) | |
| else: | |
| other.append(name) |
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| third = [] | |
| l_of_l = [['purple', 'mauve', 'blue'], ['red', 'maroon', 'blood orange', 'crimson'], ['sea green', 'cornflower', 'lavender', 'indigo'], ['yellow', 'amarillo', 'mac n cheese', 'golden rod']] | |
| for i in l_of_l: | |
| third.append(i[2]) | |
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| nested_d = {'Beijing':{'China':51, 'USA':36, 'Russia':22, 'Great Britain':19}, 'London':{'USA':46, 'China':38, 'Great Britain':29, 'Russia':22}, 'Rio':{'USA':35, 'Great Britain':22, 'China':20, 'Germany':13}} | |
| US_count = [] | |
| for i in nested_d: | |
| temp = nested_d[i]['USA'] | |
| US_count.append(temp) | |
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| sports = {'swimming': ['butterfly', 'breaststroke', 'backstroke', 'freestyle'], 'diving': ['springboard', 'platform', 'synchronized'], 'track': ['sprint', 'distance', 'jumps', 'throws'], 'gymnastics': {'women':['vault', 'floor', 'uneven bars', 'balance beam'], 'men': ['vault', 'parallel bars', 'floor', 'rings']}} | |
| # Assign the string 'backstroke' to the name v1 | |
| v1 = sports['swimming'][2] | |
| # Assign the string 'platform' to the name v2 | |
| v2 = sports['diving'][1] | |
| # Assign the list ['vault', 'floor', 'uneven bars', 'balance beam'] to the name v3 | |
| v3 = sports['gymnastics']['women'] | |
| # Assign the string 'rings' to the name v4 |
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| nested_d = {'Beijing':{'China':51, 'USA':36, 'Russia':22, 'Great Britain':19}, 'London':{'USA':46, 'China':38, 'Great Britain':29, 'Russia':22}, 'Rio':{'USA':35, 'Great Britain':22, 'China':20, 'Germany':13}} | |
| london_gold = nested_d['London']['Great Britain'] |
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| nested = {'data': ['finding', 23, ['exercises', 'hangout', 34]], 'window': ['part', 'whole', [], 'sum', ['math', 'calculus', 'algebra', 'geometry', 'statistics',['physics', 'chemistry', 'biology']]]} | |
| # Check to see if the string data is a key in nested, if it is, assign True to the variable data, otherwise assign False. | |
| if 'data' in nested: | |
| data = True | |
| else: | |
| data = False | |
| # Check to see if the integer 24 is in the value of the key data, if it is then assign to the variable twentyfour the value of True, otherwise False. | |
| if 24 in nested['data']: |
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