Best Practices for Python Read Parse DF: How to Efficiently Load and Parse DataFrames?

Hey! For Python read parse DF, have you looked into `polars`? It’s a newer library and way faster than pandas for large datasets. Also, parquet is a no-brainer for speed and storage efficiency.

For messy data, I usually use `pd.read_csv()` with `skiprows` or `skipfooter` to ignore junk rows. Saves a lot of headaches.