NVIDIA
NVIDIA
Introduction to cuDF and Dask-cuDF
Resource
NVIDIA
NVIDIA
Introduction to cuDF and Dask-cuDF

cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. This tutorial provides a quick intro to the pandas-like library and its most commonly-used functionality.

cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. cuDF provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming.

This tutorial will walk developers through how to read, clean, and analyze data and introduce the basics to get started with accelerating analytics.

Publisher
NVIDIA
NVIDIA
Latest Version1
UpdatedFebruary 27, 2024 UTC
Compressed Size32.88 KB
Labels

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.