Mastering Data Manipulation with CUDA Accelerated Pandas with cuDF - Hands-on Guide

This 10-minute tutorial explores data manipulation techniques using CUDA-accelerated Pandas (cuDF) on a Dell Workstation Precision 3680 with an NVIDIA RTX 5000 ADA GPU. Learn essential data manipulation skills including column selection, row indexing, and Boolean filtering while discovering the significant performance advantages of GPU acceleration. See how to seamlessly integrate cuDF using the 'load_ext' magic command to accelerate existing pandas code without modifications. Explore built-in profiling capabilities to monitor GPU and CPU utilization during data operations. The video progresses from basic concepts to advanced filtering techniques, including multi-conditional queries. Access the companion notebook on GitHub to practice these techniques. Part of a series sponsored by Dell and NVIDIA demonstrating effective big data processing with GPU acceleration for digital humanities applications.