A. Moving average time series forecasting in Python involves calculating the average of a specified number of previous observations to predict future values. This method smooths out short-term fluctuations, making it useful for identifying trends. Python libraries like pandas and NumPy provide functions to calculate moving averages, making it easy to implement this forecasting technique in Python.