Python library for efficient multi-threaded data processing, with the support for out-of-memory datasets. If you are an R user, chances are that you have already been using the data.table package.

"description": "In this tutorial, an introduction of Data Analysis with Python\ndatatable, one would learn about data wrangling with datatable via a\nbanking loan scenario using a subset of the Fannie ...

The datatable library offers a faster alternative to pandas for exploratory data analysis with large datasets. Datatable has advantages such as support for null values and efficient algorithms for ...