Hey! For parsing data, I swear by Python's `pandas` library. It handles CSV and JSON like a champ, and you can even use `pd.read_csv()` with `error_bad_lines=False` to skip messy rows.
For messy input, I usually write a small pre-processing script to clean things up—like stripping whitespace or filling missing fields with defaults.
Also, check out `jq` for JSON if you're on the command line. Lifesaver for quick filtering!
For messy input, I usually write a small pre-processing script to clean things up—like stripping whitespace or filling missing fields with defaults.
Also, check out `jq` for JSON if you're on the command line. Lifesaver for quick filtering!
