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.
Most popular posts this month
- SQLite DB Migrations with PRAGMA user_version
- Edge Detection with Inkscape
- Using cgit
- Making cgit Pretty
- Lev Lazinskiy
Recent Favorite Blog Posts
This is a collection of the last 8 posts that I bookmarked.
- Pluralistic: Enshittification and Reverse Centaurs go global (29 Jul 2026) from Pluralistic: Daily links from Cory Doctorow
- AI Mania Is Eviscerating Global Decision-Making from Ludicity
- No-One Escapes the Permanent Underclass from Fernando Borretti
- Is it ethical to use AI? from charity.wtf
- The logical destination of LLMs from Andy Bell
- Revised rules of engineering leadership. from Irrational Exuberance
- The circus freaks of open source from Drew DeVault's blog
- Clanker: A Word For The Machine from Armin Ronacher's Thoughts and Writings
Articles from blogs I follow around the net
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