Modin is an early-stage project at UC Berkeley’s RISELab designed to facilitate the use of distributed computing for Data Science. It is a multiprocess Dataframe library with an identical API to pandas that allows users to speed up their Pandas workflows.
Modin can give the user the opportunity to extend (not modify) typical pandas API or to try new functionality in order to get more flexibility. Depending on the exact experimental feature user may need to install additional packages, change configurations or replace the standard Modin import statement import modin.pandas as pd with modified version import modin.experimental.pandas as pd. For concreate experimental feature example, please refer to the desired link from the directory tree.