If you’re dealing with massive files, consider using `modin.pandas` instead of regular pandas. It’s a drop-in replacement and speeds up Python read parse DF operations by distributing the workload.
Also, parquet is def the way to go for faster reads. For cleaning, try `pd.read_csv()` with `usecols` to load only the columns you need—cuts down on memory usage.
Also, parquet is def the way to go for faster reads. For cleaning, try `pd.read_csv()` with `usecols` to load only the columns you need—cuts down on memory usage.