Pandas, Machine Learning, Large Datasets, Data Analysis, Data Science.
floating-point numbers as ‘float64’. However, if your data range allows, using smaller data types can halve the memory usage. You can reduce the memory usage by optimizing the data types. For example, using ‘int32’ instead of ‘int64’ or converting string columns with a limited set of unique values