Where ML and DevOps Meet - ML 108
Adventures in Machine Learning
00:00
Is There Something Wrong With Pandas?
A lot of times, as you said earlier in the podcast, Jillian, take that pandas data frame. Extract out the NumPy elements and then use NumPy operations. Now it's way faster. Is something wrong with pandas? It's like, well, sometimes it's not intended to be used the way that people use it. There are also some sort of out-of-the-box solutions like Modin.
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