• #480: Ahoy, Narwhals are bridging the data science APIs

  • Oct 9 2024
  • Length: 59 mins
  • Podcast

#480: Ahoy, Narwhals are bridging the data science APIs

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  • Summary

  • If you work in data science, you definitely know about data frame libraries. Pandas is certainly the most popular, but there are others such as cuDF, Modin, Polars, Dask, and more. They are all similar but definitely not the same APIs and Polars is quite different. But here's the problem. If you want to write a library that is for users of more than one of these data frame frameworks, how do you do that? Or if you want to leave open the possibility of changing yours after the app is built, same problem. That's the problem that Narwhals solves. We have Marco Gorelli on the show to tell us all about it.

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    Links from the show

    Marco Gorelli: @marcogorelli
    Marco on LinkedIn: linkedin.com
    Narwhals: github.io
    Narwhals on Github: github.com

    DuckDB: duckdb.org
    Ibis: ibis-project.org
    modin: readthedocs.io
    Pandas and Beyond with Wes McKinney: talkpython.fm
    Polars: A Lightning-fast DataFrame for Python: talkpython.fm
    Polars: pola.rs
    Pandas: pandas.pydata.org
    Watch this episode on YouTube: youtube.com
    Episode transcripts: talkpython.fm

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