About this episode
This episode explores how Python enhances Excel for advanced data analysis and automation.
In this thir d 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 w ith 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 Li…
People in this episode
Host: Neale Blackwood CPA
Topics covered
- Python integration
- Excel automation
- Data analysis
- Data visualization
- Power Query
- Pandas functions
- Dynamic charts
Keywords
- Python in Excel
- data workflows
- data transformation
- Excel functions
- data cleansing
- dynamic charts
- Pandas
- Matplotlib
Mentioned in this episode
Organizations: CPA Australia
Products: Python, Power Query, Pandas, Matplotlib
Books & works: Advanced Excel Reporting for Management Accountants, INTHEBLACK
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