pandas vs Polars DataFrames? 👨🏻🍳 #python
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Transcript#
This transcript was generated automatically and may contain errors.
With Pandas, everything happens eagerly. You give the library some instructions, and it evaluates your instructions the moment you give them. Whereas Polars, it's got an option whereby you can give it some instructions, it can wait a bit, and then it can do them all together in the most optimal way that it can detect. If I was to tell you to cook me a recipe, and I gave you the steps one at a time, and you had to do the steps one at a time, and for each step go out and buy the ingredients that you need for that step, it's going to be a pretty inefficient way of making a cake. But if I can give you the recipe beforehand, and you can buy all the ingredients together, then maybe do two steps at the same time, you know, it's going to be a much nicer cooking experience.
it's going to be a pretty inefficient way of making a cake. But if I can give you the recipe beforehand, and you can buy all the ingredients together, then maybe do two steps at the same time, you know, it's going to be a much nicer cooking experience.