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Time Series Analysis on a GPU with Pandas and cuDF - Episode 7

Python Tutorials for Digital Humanities via YouTube

Overview

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This tutorial demonstrates GPU-accelerated time series analysis using cuDF and Pandas for digital humanities applications. Learn how to analyze temporal patterns in American newspaper articles from 1938-1945 by properly formatting date data and performing efficient grouping operations. The demonstration runs on a Dell Precision 3680 workstation with an Nvidia RTX 5000 GPU, showcasing how GPU acceleration can significantly improve data processing workflows. Follow along as the instructor loads datasets, converts date formats, groups time-based data, performs detailed analysis, and visualizes results with Matplotlib. The video concludes with a preview of upcoming content on Nvidia's cuGraph and cuML packages. Access the companion Jupyter notebook on GitHub to practice these techniques with your own historical datasets.

Syllabus

00:00 Introduction and Series Overview
01:11 Setting Up the Workstation
02:30 Loading and Preparing the Dataset
04:05 Converting and Grouping Time Series Data
07:29 Analyzing Time Series Data
09:22 Visualizing Data with Matplotlib
10:08 Conclusion and Future Series

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Python Tutorials for Digital Humanities

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