These are my go-to libraries for Python data crunching.
End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model selection by AIC, evaluation with RMSE and MAPE, and 90-day ...
Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.