Reddit thread asking why advanced users switch from Power Query to Python (Pandas/Polars). Key insights: PQ is great for 90% of ETL but Python wins on large datasets (1M+ rows), regex, automation pipelines, version control. Best tool depends on workflow complexity. 186 upvotes, 87 comments.
A lightweight, client-only spreadsheet web application. All data persists in the URL hash for instant sharing, No backend required. Optional AES-GCM password protection keeps shared links locked without a server
Welcome to Learn Python for Excel! In this first module, we’re getting you set up and ready to dive into one of the most exciting advancements in data work: integrating Python directly into Excel. Whether you’re a seasoned spreadsheet user or just curious about code, you’re in the right place.
In this video, you will learn how to quickly & efficiently export large data from Power Apps to Excel using Power Automate. We’ll use SharePoint, Dataverse, …
The SWITCH function allows users to map input values to corresponding output values. In this video, you learn how to apply this concept in Power Query by usi…