time series forecasting using python (Urgent)

have around 500 products for which sale quantity should be forecasted. this will involve performing decomposition, handling missing data, exponential smoothing, additive and multiplative models , accuracy of prediction calculations, different model comparison, ARIMA, SARIMA,