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

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Yo, pandas is solid but I feel you on the speed issue. For Python read parse DF, try using `pyarrow` with pandas—it’s a game-changer for parquet files. Also, if your data is super messy, maybe preprocess it with a tool like OpenRefine before loading it into Python.

And yeah, parquet > CSV any day for large datasets.

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