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A Podcast about Developer tools and libraries

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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.

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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.

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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.

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Enjoy the show 👨‍🍳

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Show Notes

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  • 00.14 Intro
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  • 01.00 Episode Start
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  • 01.30 Marco’s Introduction
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  • 02.14 What is pandas?
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  • 03.27 Why do I need pandas?
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  • 05.19 pandas’ competitors
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  • 07.24 pandas’ popularity
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  • 10.12 What’s your role with pandas?
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  • 12.39 How to become a pandas maintainer?
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  • 13.50 From data scientist to open source maintainer
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  • 16.02 What is polars?
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  • 21.22 Can pandas and polars co-exist?
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  • 24.25 Performance benchmarks
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  • 26.21 The learning curve
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  • 29.11 Naming anecdotes
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  • 30.51 The Dataframe Consortium?
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  • 40.12 Marco’s role in the consortium
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  • 43.40 What’s next for polars?
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  • 46.50 How to start contributing?
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  • 50.56 Further reading
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  • 53.33 Where people can find you online?
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Resources

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Show links

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