Polars: A Lightning-fast DataFrame for Python - Talk Python To Me Ep.402

When you think about processing tabular data in Python, what library comes to mind? Pandas, I'd guess. But there are other libraries out there and Polars is one of the more exciting new ones. It's built in Rust, embraces parallelism, and can be 10-20x faster than Pandas out of the box.

We have Polars' creator, Ritchie Vink here to give us a look at this exciting new data frame library.

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[incremental_failure]

The learning process from high level to low level over time seems to be standard nowadays and it makes more sense. You want to first become comfortable with writing high level code and through experience you will understand the importance of memory management, threading and other lower level concepts.