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.
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Articles from blogs I follow around the net
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via matduggan.com August 28, 2026The growing divide between AI hype and software engineering reality
It is widely accepted that there is an AI bubble in the financial markets at the moment. The moderate opinion is however that LLMs are constantly improving and will eventually take over more and more tasks from humans and increase productivity. But are LLM...
via Optimized by Otto August 28, 2026Generated by openring