What Pandas users should know about NumPy 2.0 and dtypes
If you use Pandas, then you're also (indirectly) using NumPy. And NumPy 2.0, which was released earlier this week, introduces a bunch of changes — including changes to what happens when you broadcast math operations to a Pandas series.
In this video, I explain the old behavior and the new one, consider what this means, and give you some ways to think about and handle it.
(The video was already long, so I didn't mention — but perhaps should have — that you can always use "astype" to get a new series back, with a different dtype, if you want to perform a conversion. You just have to do it explicitly, rather than expecting automatic promotion.)
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