I recently came across Yuli Vasiliev’s PDF on Python for Data Science, and it really opened my eyes to how versatile Python can be beyond just analytics. What’s fascinating is how the same Python skills can be applied in RPA (Robotic Process Automation) to streamline business workflows. Platforms like Python [AI and rpa](https://pythonrpa.org/ai-rpa-examples-of-artificial-intelligence-in-business/) let you automate repetitive tasks—like generating reports, verifying data, or entering information into accounting systems—without touching the underlying IT infrastructure. Essentially, combining Python for data science with RPA gives you the power to not only analyze and manipulate data but also automate its processing and reporting, saving time and reducing errors.