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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Always interesting and informativeI'm really enjoying this podcast. Both the host and the guest have been excellent. The production quality is high. Overall this is one of the best podcasts I've heard.
Exceptional for those new to PythonThe podcast has been a wealth of information and has positively contributed to my efforts to learn Python. Michael interviews a great cross-section of people using Python. The biggest benefit for me has been the exposure to the various libraries and seeing the multitude of areas that I can use Python. Frankly, the podcast this the best way I've found to augment the training videos, documentation, and books I've used to learn the language.
Just subscribeOne of the few programming podcasts that I enjoy every week. There's always one package or tip that's helpful to know. Thank you guys!
Talk Python to Me is a weekly podcast hosted by
Michael Kennedy.
The show covers a wide array of Python topics as well as
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The format is a casual 1-hour conversation with industry
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