Why Polars uses less memory than Pandas
Processing large amounts of data with Pandas can be difficult; it’s quite easy to run out of memory and either slow down or crash. The Polars dataframe library is a potential solution. While Polars is mostly known for running faster than Pandas, if you use it right it can sometimes also significantly reduce memory usage compared to Pandas. In particular, certain techniques that you need to do manually in Pandas can be done automatically in Polars, allowing you to process […]
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