Another way to leverage Python code in Power BI is by calling Python functions directly from Power Query using the 'Python Script' in the Power Query Editor. This allows you to manipulate and transform data using Python code before loading it into Power BI for analysis and visualization. It's a powerful way to extend the capabilities of Power Query and tap into the vast ecosystem of Python libraries for data preprocessing and cleansing.

Power BI provides a Python integration feature called 'Python Script Visual' that allows you to run Python code and display the results within your Power BI reports. By using this feature, you can leverage the extensive capabilities of Python libraries like pandas, numpy, and scikit-learn to perform complex data analysis, statistical modeling, and machine learning. With Python Script Visual, you can enhance your Power BI reports with dynamic and interactive visualizations that go beyond the built-in capabilities of Power BI. It opens up endless possibilities for advanced analytics and custom visualizations in your Power BI projects.

In summary, Power BI enables seamless integration with Python code through the Python Script Visual and the ability to call Python functions in Power Query. You can harness the power of Python's data analysis and machine learning libraries to enrich your Power BI reports with advanced analytics and custom visualizations.