Inspiring Computing
The Inspiring Computing podcast is where computing meets the real world. This podcast aims to trigger your curiosity by talking to proficient and advanced users of MATLAB, Python, Julia who use these tools to deepen their understanding of the world, simulate, explore trade-offs and gain insights that help companies add more value. In addition to proficient users we will also talk with the product marketing, toolbox authors, package developers and library maintainers to see what drives the development and what issues they are solving for others to benefit from.
Inspiring Computing
Polars - Lightning-fast DataFrame library for Rust and Python
In this episode of Inspiring Computing we talked to Ritchie Vink was the author of polars. Polars is a Python package written in rust and anyone who is ever used pandas will for sure find this episode interesting, as polars has incredible speedups compared to pandas. But in order to do so, it is interesting to hear from , Ritchie, where he got his inspiration from, how did he go about creating such a powerful package and where is he actually going in the future?
And this episode, he talks about some of the optimizations that he implemented.
