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

Pandas is solid but yeah, it can be slow. For Python read parse DF, try `dask.dataframe`—it’s like pandas but handles larger datasets better.

Also, parquet is def faster than CSV. For cleaning, maybe use `pd.read_csv()` with `infer_datetime_format=True` to handle date columns more efficiently.