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

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Wow, thanks everyone for the awesome tips! I tried using `polars` and `pyarrow` for Python read parse DF, and it’s way faster than pandas for my dataset. Parquet is def the move—saved me so much time.

Still struggling a bit with super messy data though. Anyone got more tips on cleaning while loading? Like, how do you handle inconsistent date formats?

Also, has anyone tried `vaex`? Wondering if it’s worth the switch for my next project.

Thanks again, y’all are legends! 🙌

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