Learn Code Quiz: Data Science | Functions, and Methods | Learn Python in a Week

Are you eager to level up your Python skills and dive into the exciting world of Data Science? Join our exhilarating Learn Code Quiz series, where we unravel the magic of Functions and Methods in Python while delving into the captivating realm of Data Science—all within a week!
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# Function - standalone block of code
def square_function(number): # We define a function. square_function is the function name. The argument of the function is number
squared = number ** 2 # Calculate the square of the number using the ** operator. The squared value is stored in a variable called squared.
return squared # Return the result

# Method - associated with objects
class Calculator: # we define a class called Calculator
def __init__(self): # Inside the Calculator class, we define the __init__ method, which is the constructor for the class.
pass # pass statement, which is a placeholder indicating that there is no code to execute.

def square_method(self, number): # The class Calculator has a method called square_method.
squared = number ** 2 # Calculate the square of the number using the ** operator
return squared # Return the result

# Demonstration
def main():
# Using the function
number_to_square = 5 # variable number_to_square with the value 5, which will be used as the argument for both the function and the method.
result_function = square_function(number_to_square) # We call the square_function with number_to_square as the argument and store the result in a variable called result_function.
print("Square using function:", result_function) # We print the result of the function using print("Square using function:", result_function).

# Using the method
calculator_obj = Calculator() # Creating an instance of the Calculator class, called calculator_obj.
# The result is stored in a variable called result_method.
print("Square using method:", result_method) # we print the result of the method using print("Square using method:", result_method).

if __name__ == "__main__":
main()
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🔥 What's in store for you:
📚 Data Science Essentials: Get a comprehensive understanding of fundamental Data Science concepts and techniques.
📝 Functions and Methods: Master the art of writing efficient functions and methods to streamline your Python code.
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