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

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For Python read parse DF, pandas is good but not always the fastest. Try `pyspark` if you’re dealing with really big data—it’s built for distributed processing.

Parquet is def the better format for speed and storage. For cleaning, maybe preprocess with a script to remove junk before loading.

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