I’m curious how others here approach data tasks: Do you prefer writing SQL directly, using Python/pandas, or working with no-code/low-code tools (like Tableau, Airtable, or internal tools)?

For context, I’m building Data.olllo, a desktop app for processing CSVs locally — no upload, just fast filtering, transforming, and exploring data with a spreadsheet-like UI.

What do you personally reach for first when cleaning or analyzing a dataset?