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Pandas Fast in Python (The Easiest Way)
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Learn how to make pandas fast in Python using just a single line of code.
You have your data all loaded into a Pandas data frame, ready to do some exploratory analysis, but first, you need to create a few additional features.
Naturally, you turn to the apply function. Apply is great because it makes it easy to use a function on all the rows of your data. You get it all set up, run your code and…
Wait
It turns out it can take a while to process every row of a large dataset. Thankfully, there is a very simple solution that could save you a significant amount of time.
With this single line of code make pandas fast in Python.
Chapters:
0:00 Intro.
1:15 Vectorization
1:57 Parallel Processing
2:31 Swifter
3:25 Code Example
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