Explore a comprehensive benchmark analysis of popular Pandas alternative libraries in this 20-minute video. Compare the performance of Dask, Modin, Ray, and Vaex against Pandas when processing large datasets. Learn about the setup process, examine each library's implementation, and discover which one emerges as the fastest. Follow along with the detailed timeline, covering the introduction, setup, individual library tests, and a final summary of the results. Gain valuable insights into optimizing your data processing workflows and determine if these Pandas alternatives truly deliver on their speed claims.
Overview
Syllabus
Intro
Setup
Pandas
Ray
Dask
Modin
Vaex
Summary
Taught by
Rob Mulla