Have you wondered whether there could be an ultimate solution to speed up algorithms through parallelizing computing, Pandas, and NumPy? Can you boost the speed by integrating all of these data frames ...

This project aims to efficiently calculate satellite positions from TLE (Two-Line Element) data using distributed computing with Dask. The code is designed to handle large datasets and reduce ...

When a data scientist is done playing around with a model and wants to run it at scale, she has several options. One potential avenue is Dask, the open source framework that parallelizes Python code.

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

Optimus is a Python library that works as a unified API for data cleaning, processing, and merging data. It can be used for handling small and big data on your local laptop or on remote clusters using ...

from dask_gateway import Gateway # -- Here we provide a few examples of creating a `Gateway` object -- # Gateway server running at http://mygateway.com with kerberos ...