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here are three simple python tips to help you load CSV data quickly into pandas tip 1. use the use calls argument in read CSV to load Only The Columns you need in this example where I load a 2 gigabyte file with six columns loading two columns is about 30 faster than loading all the data since thereamp;#39;s a lot less data that needs to be parsed 2. set the engine equal to Pi arrow in read CSV this gave me a further 3x speed up itamp;#39;s extremely fast since this engine uses concurrency under the hood and itamp;#39;s also an aggressively optimized implementation to 3. if youamp;#39;re loading the CSV data often consider saving it back down as a parquet file and loading that instead this gave me an additional 3x speed up as the parquet file format is specially designed for loading polymer data if you found these tips helpful share like and stay tuned for more
