Econometrics With Python provides a comprehensive exploration of econometric theory and practical applications. The content spans a broad range of topics, beginning with foundational concepts in simple and multiple linear regression, including key issues like multicollinearity and heteroscedasticity. It progresses into more advanced topics such as hypothesis testing, nonlinear regression, and model specification. The book also covers specialized areas of econometrics like qualitative response models, panel data analysis, and time series forecasting, ensuring that readers gain both a theoretical understanding and practical insight into applying econometric methods in various contexts.