In this third and final episode of a three-part series, we explore how the integration of Python unlocks advanced tools for analysis, automation and visualisation.

Listeners will learn:

• How Python connects with Power Query to extract and transform data

• Ways to preview and filter information using Pandas functions

• Techniques for reshaping horizontal data into usable formats with melt()

Python in Excel can really help your data workflows. It allows you to work with connection-only Power Queries, cleanse and reshape messy datasets and generate dynamic charts in just a few lines of code.

And with built-in libraries like Pandas and Matplotlib, you or your finance team can preview, filter and transform data in ways that are faster and more flexible than traditional Excel functions.

Who doesn't love that?

Packed with practical insights, this episode helps you harness Python in Excel to save time, improve analysis and elevate decision-making.

Tune in now.

Host: Neale Blackwood CPA. He has more than 20 years of experience as a Microsoft Excel educator and is the author of more than 200 INTHEBLACK articles as well as a book, Advanced Excel Reporting for Management Accountants.

LINKS

Listen to part one of this three-part series which covers the basics. Episode two discusses practical applications of Python in Excel.

And you can read more of Neale's Excel articles on INTHEBLACK.

You can find a CPA at our custom portal on the CPA Australia website.

Would you like to listen to more Excel Tips episodes? Head to CPA Australia's YouTube channel.

CPA Australia publishes four podcasts, providing commentary and thought leadership across business, finance, and accounting:

With Interest

INTHEBLACK

Excel Tips

INTHEBLACK Out Loud

Search for them in your podcast platform.

You can email the podcast team at [email protected]