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.
- Pluralistic: bunnie's piggyback hack (09 Jan 2026) from Pluralistic: Daily links from Cory Doctorow
- Clicks Communicator from Chris Hannah
- A Year Of Vibes from Armin Ronacher's Thoughts and Writings
- Pluralistic: A perfect distillation of the social uselessness of finance (18 Dec 2025) from Pluralistic: Daily links from Cory Doctorow
- Moving from WordPress to Substack from charity.wtf
- Grow, Like a Tree Not a Cancer from Jim Nielsen’s Blog
- Pluralistic: All the books I reviewed in 2025 (02 Dec 2025) from Pluralistic: Daily links from Cory Doctorow
- DEP-18: A proposal for Git-based collaboration in Debian from Optimized by Otto
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