•1 min read•from Microsoft Excel | Help & Support with your Formula, Macro, and VBA problems | A Reddit Community
Why do advanced users move from Power Query to Python for Excel automation?
I've noticed that many data professionals recommend switching to Python (especially pandas) instead of relying only on Power Query when Excel workflows become more "serious" or complex.
From an Excel user's perspective, Power Query already handles cleaning, transformations, merging tables, and automation pretty well, so I'm trying to understand where Python actually becomes the better tool?
I am interested in real-world experiences and decision criteria especially from those who used both or one of them.
[link] [comments]
Want to read more?
Check out the full article on the original site
Tagged with
#Excel alternatives for data analysis
#Excel compatibility
#Excel alternatives
#automation in spreadsheet workflows
#real-time data collaboration
#data cleaning solutions
#generative AI for data analysis
#rows.com
#generative AI automation
#workflow automation
#cognitive automation
#big data management in spreadsheets
#conversational data analysis
#intelligent data visualization
#real-time collaboration
#data visualization tools
#enterprise data management
#big data performance
#data analysis tools
#natural language processing for spreadsheets