Which error is the base class for all errors that occur during numeric calculations?

Which error is the base class for all errors that occur during numeric calculations?

• A. LookupError
• B. IndexError
• C. ArithmeticError
• D. ValueError

Answer: (C)

ArithmeticError serves as the base class for all errors that arise specifically during numeric calculations in Python. This category encompasses exceptions that occur as a result of mathematical operations, including but not limited to division by zero, numeric overflow, and invalid operations involving numeric types. By deriving from ArithmeticError, specific errors like ZeroDivisionError and OverflowError inherit properties that allow them to be handled together or distinctly, depending on the needs of the program. This organized structure ensures that all types of arithmetic-related errors can be caught and managed in a consistent manner, making debugging and exception handling simpler for developers. In contrast, options such as LookupError, IndexError, and ValueError pertain to different types of errors unrelated to numeric calculations. LookupError generally deals with issues encountered during element access, IndexError is specific to problems related to accessing invalid indices in sequences, and ValueError occurs when a built-in operation receives an argument of the right type but an inappropriate value. Each of these contributes to error handling in Python, but they do not address issues that arise during calculations in the way that ArithmeticError does.

ArithmeticError serves as the base class for all errors that arise specifically during numeric calculations in Python. This category encompasses exceptions that occur as a result of mathematical operations, including but not limited to division by zero, numeric overflow, and invalid operations involving numeric types.

By deriving from ArithmeticError, specific errors like ZeroDivisionError and OverflowError inherit properties that allow them to be handled together or distinctly, depending on the needs of the program. This organized structure ensures that all types of arithmetic-related errors can be caught and managed in a consistent manner, making debugging and exception handling simpler for developers.

In contrast, options such as LookupError, IndexError, and ValueError pertain to different types of errors unrelated to numeric calculations. LookupError generally deals with issues encountered during element access, IndexError is specific to problems related to accessing invalid indices in sequences, and ValueError occurs when a built-in operation receives an argument of the right type but an inappropriate value. Each of these contributes to error handling in Python, but they do not address issues that arise during calculations in the way that ArithmeticError does.