What's the best approach for efficient data parsing in large datasets? Alternatively: Struggling with

Oh man, I feel your pain! Messy data is the worst. My lifesaver has been OpenRefine—it’s a game-changer for cleaning and transforming data without writing a ton of code.

For data parsing, I lean heavily on Pandas, but when things get *really* messy, I’ll use a combo of regex and custom functions to handle edge cases.

Also, CSV files breaking randomly? Ugh. I’ve started using `csvkit` for sanity checks before even loading into Python.