Data scientists and data engineers from NASA, Capital One, Citi, Walmart, Grubhub, Wayfair, Microsoft and other organizations and companies currently use Dask to scale their Python code and PyData ...

Python is powerful, versatile ... to have top-down control over the submitted jobs), use Dask. If you want to work specifically with Pandas, use Pandaral·lel; for parallel distribution of ...

Dask started out focusing on the single-node heavy workstation use case. The goal was to scale Python to all of the cores of a modern CPU and extend the data size limit from the amount of ...

Dask, a Python library for parallel computing ... and a sizable body of code exists for this machine learning use case. Previously DLPack was the de-facto standard for data interchange among ...