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Time for a brand-new topic today here at The Developers’ Bakery: Data Science! We’re really excited to have on stage Marco Gorelli, core contributor of both pandas and polars, two of the most popular data science libraries in the Python ecosystem.
In this episode, we’ll talk about how pandas became so popular in the data science space. Then we’ll move on to talk about polars, a new data science library written in Rust, and how its performances compare to pandas.
Finally, we’ll have the opportunity to touch on a very interesting and unique topic: the Dataframe Consortium, a multi-company effort to standardize the data science API across the ecosystem.
Enjoy the show 👨🍳
By Nicola CortiTime for a brand-new topic today here at The Developers’ Bakery: Data Science! We’re really excited to have on stage Marco Gorelli, core contributor of both pandas and polars, two of the most popular data science libraries in the Python ecosystem.
In this episode, we’ll talk about how pandas became so popular in the data science space. Then we’ll move on to talk about polars, a new data science library written in Rust, and how its performances compare to pandas.
Finally, we’ll have the opportunity to touch on a very interesting and unique topic: the Dataframe Consortium, a multi-company effort to standardize the data science API across the ecosystem.
Enjoy the show 👨🍳

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