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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Great content. Great host.The host is interesting and funny. The guests have been very interesting. The audio quality is pro level. Highly recommended.
Fantastic contentI've been a fan of this show for quite some time. High-quality content that I look forward to every time.
Lots of great interviewsIt has inspiring content, awesome interviews, and explores the vastness of the Python community.
Talk Python to Me is a weekly podcast hosted by
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