Top 5 Uses of Python for Power BI Developers Data Preparation and Transformation Python is widely used for complex ETL (Extract, Transform, Load) processes, especially when Power Query's capabilities are limited. Python can clean and reshape data using libraries like Pandas before feeding it into Power BI. Example : Handling missing values, normalizing data, or dealing with large datasets that need advanced manipulation. Automating Data Workflows Python can automate repetitive tasks such as data extraction from APIs , file handling, or refreshing datasets, making it a powerful addition to Power BI automation workflows. Example : A script that pulls data from a web API daily, processes it, and updates the Power BI dataset. Advanced Analytics & Machine Learning Power BI allows integration with Python scripts for advanced statistical analysis and machine learning models using libraries like Scikit-learn , TensorFlow , and Matplotlib . Example : Predictive models, clustering, o...