Implement a class Athlete with basic attributes like name, age, and nationality. Then create child classes Runner, Swimmer, Cyclist, each having unique methods and attributes.
Example 1:
Input: Runner('Usain Bolt', 35, 'Jamaican', '100m', '9.58 seconds') Output: "Usain Bolt is a 35-year-old Jamaican runner. He runs the 100m in 9.58 seconds."
Example 2:
Input: Swimmer('Michael Phelps', 36, 'American', '100m Butterfly', '49.82 seconds') Output: "Michael Phelps is a 36-year-old American swimmer. He swims the 100m Butterfly in 49.82 seconds."
Implement a unique method performance in each of the child classes that returns the respective performance details of the athlete.
class Athlete: def __init__(self, name, age, nationality): self.name = name self.age = age self.nationality = nationality class Runner(Athlete): def __init__(self, name, age, nationality, event, record): super().__init__(name, age, nationality) self.event = event self.record = record def performance(self): return f"{self.name} is a {self.age}-year-old {self.nationality} runner. He runs the {self.event} in {self.record}." class Swimmer(Athlete): def __init__(self, name, age, nationality, event, record): super().__init__(name, age, nationality) self.event = event self.record = record def performance(self): return f"{self.name} is a {self.age}-year-old {self.nationality} swimmer. He swims the {self.event} in {self.record}." # Test the classes athlete1 = Runner('Usain Bolt', 35, 'Jamaican', '100m', '9.58 seconds') print(athlete1.performance()) athlete2 = Swimmer('Michael Phelps', 36, 'American', '100m Butterfly', '49.82 seconds') print(athlete2.performance())
Unlock AI & Data Science treasures. Log in!