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

Pandas is great but yeah, it can be slow. For Python read parse DF, try `vaex`—it’s designed for big data and doesn’t load everything into memory.

Also, parquet is def better than CSV for large files. For cleaning, maybe use `pd.read_csv()` with `converters` to handle messy columns on the fly.