Explore GPU-accelerated data preprocessing using NVIDIA RAPIDS cuDF Pandas in this 18-minute tutorial. Learn how to leverage the cuDF pandas accelerator mode to enhance your pandas workflows without modifying existing code. Discover the power of cuDF, a Python GPU DataFrame library built on the Apache Arrow columnar memory format, for efficiently handling large-scale tabular data operations such as loading, joining, aggregating, and filtering. Gain insights into pronouncing cuDF correctly as "Cu-DF" and access additional resources, including a detailed blog post and a Google Colab notebook with code examples, to further your understanding of this powerful tool for accelerated data processing.
Overview
Syllabus
NVIDIA RAPIDS cuDF Pandas - Large Data Preprocessing with cuDF pandas accelerator mode
Taught by
Krish Naik
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