Time Series Analysis on a GPU with Pandas and cuDF (Ep. 07)

GPU-Accelerated Time Series Analysis with QDFA & Pandas In this final episode of our cuDF Series, we delve into time series analysis using the cuDF Python package, an accelerated version of Pandas for GPU. We focus on analyzing the time field in a dataset of American newspaper articles from 1938 to 1945, converting date data into the proper format, and grouping it for detailed analysis. Powered by the Dell Precision 3680 workstation with an Nvidia RTX 5000 GPU, we demonstrate how to leverage GPU-accelerated Python packages for efficient data processing. We also preview upcoming series on Nvidia's cuGraph and cuML packages. 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 Notebook: https://github.com/wjbmattingly/cuda-python/blob/main/notebooks/cudf/06_timeseries.ipynb Dell Workstation: https://www.dell.com/en-us/dt/ai-technologies/index.htm?utm_source=William&utm_medium=Content&utm_campaign=Polars RTX 5000 Ada: https://nvda.ws/4gPZUpQ RAPIDS: https://nvda.ws/3CwwcHK Join this channel to get access to perks: https://www.youtube.com/channel/UC5vr5PwcXiKX_-6NTteAlXw/join If you enjoy this video, please subscribe. ✅Be my Patron: https://www.patreon.com/WJBMattingly ✅PayPal: https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=AZ73QW52SUX8N&currency_code=USD&source=url If there's a specific video you would like to see or a tutorial series, let me know in the comments and I will try and make it. If you liked this video, check out www.PythonHumanities.com, where I have Coding Exercises, Lessons, on-site Python shells where you can experiment with code, and a text version of the material discussed here. You can follow me at: https://twitter.com/wjb_mattingly