Reducing memory usage in pandas with smaller datatypes

Optimizing pandas memory usage by the effective use of datatypes Managing large datasets with pandas is a pretty common issue. As a result, a lot of libraries and tools have been developed to ease that pain. Take, for instance, the pydatatable library mentioned below. Using Python’s datatable library seamlessly on Kaggle Despite this, there are … Continue reading Reducing memory usage in pandas with smaller datatypes