A. Seasonal naive forecasting in Python is a simple time series forecasting method that uses the last observed value from the same season in the previous year as the prediction for the current season. It assumes that historical patterns repeat annually. This approach can be implemented using libraries like pandas and scikit-learn, making it straightforward to apply in Python.