Exponential smoothing forecasts the next value as a weighted average of past observations, whose weights decay exponentially with age. The alpha parameter sets the reactivity: the larger it is, the more recent values count. The simple version suits series with no trend or seasonality.
Example
SimpleExpSmoothing(serie).fit(smoothing_level=0.3)