Workshop web site: https://training.sharcnet.ca/courses/course/view.php?id=191Alliance account is required for registration.Some CPU-based Python libraries for data analytics, like Numpy, Pandas, Scikit-Learn, etc., usually work well. As data sizes continue to grow, traditional CPU-based approaches often struggle to deliver timely insights. This workshop introduces GPU-accelerated data analytics using the RAPIDS suite in Python. RAPIDS leverages the power of NVIDIA GPUs to accelerate data processing and analytics tasks with less or no effort in code changes.The workshop consists of two parts delivered online on Tues. Nov. 12 and Fri. Nov. 15 from 1 P.M. to 2 P.M. Eastern Time. Recordings of live classes will be available afterwards in this course for self-paced learning and review.