Oh man, I feel your pain! Parsing data from messy CSVs is the worst.
For Python, pandas is a lifesaver—it handles missing commas and weird chars way better than raw csv module. Just do `df = pd.read_csv('file.csv', error_bad_lines=False)` to skip bad rows.
Also, check out `csvkit` for command-line parsing. It’s free and great for quick fixes.
Common pitfall? Not checking encoding first. Always open the file in a text editor to see if it’s UTF-8 or something else.
Good luck!
For Python, pandas is a lifesaver—it handles missing commas and weird chars way better than raw csv module. Just do `df = pd.read_csv('file.csv', error_bad_lines=False)` to skip bad rows.
Also, check out `csvkit` for command-line parsing. It’s free and great for quick fixes.
Common pitfall? Not checking encoding first. Always open the file in a text editor to see if it’s UTF-8 or something else.
Good luck!
