This enables you to analyze massive datasets quickly. Additionally, PyXLL-Jupyter also has better visualization in places where Excel's native graphs and charts fail to deliver.

Conclusion This for me was a pretty good learning on how to use Pandas and Jupyter with a real example and how to manipulate and query data.

Some members of the Microsoft 365 Insiders program can now try out the combination of Python, Excel and the Anaconda Python repository.

Python and Excel can only really talk to each other through limited functions—xl () and =PY ()—that can only return code results, not macros, VBA code, or other data, Microsoft claims.

This will enable users to perform complex statistical analysis, advanced visualizations, predictive analytics, and machine learning in Excel.

Also, Python isn’t limited to automation in Excel only. It opens up a host of other programming possibilities for you. Python is useful in web development, data science, machine learning, and more.