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

Hey everyone!

So, I’ve been working on this project where I need to Python read parse DF files, and honestly, it’s been a bit of a headache. Like, I know pandas is the go-to, but sometimes it feels slow af with large datasets.

Anyone got tips on how to Python read parse DF more efficiently? I’ve tried chunking with `pd.read_csv()` and it helps, but I feel like there’s gotta be better ways.

Also, what about file formats? CSV is cool, but parquet seems faster for Python read parse DF stuff. Thoughts?

Oh, and if anyone’s got tricks for cleaning/parsing messy data while loading, pls share! My code’s a mess rn lol.

Thanks in advance! 🙌