Summary

In this chapter, you learned about the most popular free Python distributions in the community and the best practices for their use.

Using the unique features of Power BI Desktop and the Power BI service, you have learned how to properly create specific Python environments.

You also learned that the most popular IDE in the R community (RStudio) can also run Python code. In addition, you have installed and configured VSCode, which is to date one of the most widely used advanced editors for Python.

You were also introduced to all of the best practices for properly configuring both Power BI Desktop and the Power BI service with Python, whether in a development or enterprise environment.

Finally, you've learned some of the limitations on using Python with Power BI, knowledge of which is critical to avoid making mistakes in developing and deploying reports.

In the next chapter, we'll finally start working with R and Python scripts in Power BI, doing data...