An 'OverflowError' in Python occurs when a numerical calculation exceeds the limits of the data type. Review your calculations and consider using larger data types or libraries like NumPy for handling large numbers.

The 'OverflowError' is a specific type of exception that occurs in Python when a calculation produces a result that is too large to be expressed within the limits of the data type. This error is particularly common when working with integers and floating-point numbers in mathematical operations that exceed their maximum representable values. For instance, performing calculations that result in exceedingly large integers can lead to this error, especially if the result exceeds the maximum allowable value for Python's integer type, or when using fixed-size integers in other libraries. To resolve this issue, first, examine your calculations and determine where the overflow occurs. If you are performing arithmetic operations, consider using the math module, which provides functions optimized for larger numbers, or libraries like NumPy that can handle large datasets and provide support for larger data types. In addition, if applicable, try to break down complex calculations into smaller parts to minimize the risk of overflow. By understanding the causes of OverflowErrors and leveraging appropriate tools and practices, you can effectively manage large numerical computations in your Python applications.