Speed is Not All You Need for Data Processing

Explore the evolving landscape of data processing frameworks in this PyCon US talk by Kevin Kho and Han Wang. Delve into a comparative analysis of popular tools like Pandas, Polars, DuckDB, and Spark, challenging common assumptions about their performance. Learn why speed alone may not be the determining factor when choosing a data processing framework. Discover surprising benchmarks that reveal Pandas UDFs can outperform native Spark in certain scenarios. Gain insights to help you select the most appropriate tools for your data processing needs, focusing on overall effectiveness rather than just raw speed.