Sofia Heisler No More Sad Pandas
In this excellent talk, Sofia Heisler explains how to optimize Pandas code. There is a striking difference between a naive implementation and an optimized one, a nearly 500x improvement.
She also described two very useful benchmarking functions, timeit, and line_profiler.
[embed]https://www.youtube.com/watch?v=HN5d490_KKk[/embed]
I wonder how much of this would apply to “normal” python development? If nothing else, the two benchmarking functions will certainly come in handy in future optimization.
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Check out some more stuff to read down below.
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Recent Favorite Blog Posts
This is a collection of the last 8 posts that I bookmarked.
- The social contract of writing from jola.dev
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- tweet from Derek Sivers blog
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- A eulogy for Vim from Drew DeVault's blog
- Pluralistic: AI "journalists" prove that media bosses don't give a shit (11 Mar 2026) from Pluralistic: Daily links from Cory Doctorow
- Offline 23 hours a day from Derek Sivers blog
- Pluralistic: California can stop Larry Ellison from buying Warners (28 Feb 2026) from Pluralistic: Daily links from Cory Doctorow
Articles from blogs I follow around the net
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