Make working with large DataFrames easier, at least for your memory

Reduce the size of your DataFrames by up to 90%!

Eryk Lewinson
6 min readAug 28, 2018

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Nowadays, in the big-data world, we are oftentimes working with large datasets. And while there are certain tools facilitating work on massive volumes of data (such as Spark), we still do a lot of work locally and, for example, would like to build a prototype model (an…

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Data Scientist, quantitative finance, gamer. My latest book - Python for Finance Cookbook 2nd ed: https://t.ly/WHHP