Dunder Data Challenge #2 — Explain the 1,000x Speed Difference when taking the Mean
Published in
8 min readApr 16, 2019
This is the second edition of the Dunder Data Challenge series designed to help you learn python, data science, and machine learning. Begin working on any of the challenges directly in a Jupyter Notebook thanks to Binder (mybinder.org).
In this challenge, your goal is to explain why taking the mean of the following DataFrame is more than 1,000x faster when setting the parameter numeric_only to True.
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Video Available!
A video tutorial of me completing this challenge is available on YouTube.
