The Holt-Winters method extends exponential smoothing to jointly model a level, a trend, and a seasonality, additive or multiplicative. It suits monthly or weekly series with a stable seasonal pattern, and is tuned by smoothing parameters estimated from the data.
Example
ExponentialSmoothing(serie, trend='add', seasonal='add', seasonal_periods=12).fit()