Pandas vs. DuckDB vs. Polars: 20M rows, 10 operations, benchmarked
9 hours ago
- #Performance Comparison
- #Python Libraries
- #Data Benchmarking
- The author is conducting a benchmarking exercise with three popular data libraries in Python: Pandas, DuckDB, and Polars.
- The benchmark involves processing 20 million rows to compare performance, addressing common opinions and claims about speed and usability.
- The goal is to provide empirical data to clarify which library performs best under specific conditions, moving beyond anecdotal arguments.