Pandas 2 brings new Arrow data types, faster calculations and better scalability. Dask scales Pandas across cores. Polars is a new competitor to Pandas designed around Arrow with native multicore support. Which should you choose for modern research workflows? We'll solve a "just about fits in ram" data task using the 3 solutions, talking about the pros and cons so you can make the best choice for your research workflow. You'll leave with a clear idea of whether Pandas 2, Dask or Polars is the tool for your team to invest in.
https://london2023.pydata.org/cfp/talk/D7HGQL/