Consider the two Python functions below, both intended to find the average of a list of numbers. Evaluate the primary difference in their design and robustness.
Function A:
def calculate_average_a(numbers): if not numbers: return 0 return sum(numbers) / len(numbers)
Function B:
def calculate_average_b(numbers): return sum(numbers) / len(numbers)
Which statement best evaluates the two functions?
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Analyze the following Python code. What is the most likely outcome when it is executed?
def find_mean(data): # Note: This function does not handle all possible inputs total = sum(data) count = len(data) return total / count test_data = [] print(find_mean(test_data))Python Function for List Average
Consider the two Python functions below, both intended to find the average of a list of numbers. Evaluate the primary difference in their design and robustness.
Function A:
def calculate_average_a(numbers): if not numbers: return 0 return sum(numbers) / len(numbers)Function B:
def calculate_average_b(numbers): return sum(numbers) / len(numbers)Which statement best evaluates the two functions?