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.

A Python port of the R DT2 package: an anywidget binding for DataTables v2, designed for Shiny for Python (and usable in Jupyter). It configures DataTables via plain Python (1:1 with the JS API), ...

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 ...