What's the best way to parse data efficiently in your projects? or How do you handle errors when you

Regex is like a Swiss Army knife—powerful but dangerous if you don’t know what you’re doing.

For parsing data, I’ve started using `datatable` (R’s data.table port for Python). Way faster than pandas for huge files.

Also, `chardet` library helps guess encodings when files are being stubborn.