Sofia Heisler No More Sad Pandas 

| programming | python |

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.

Thank you for reading! Share your thoughts with me on bluesky, mastodon, or via email.

Check out some more stuff to read down below.

Most popular posts this month

Recent Favorite Blog Posts

This is a collection of the last 8 posts that I bookmarked.

Articles from blogs I follow around the net

Doing less, for her

My daughter will be born soon, and I’m reflecting on what that means for my OpenSource work.

via Carlos Becker February 1, 2026

The Browser’s Little White Lies

So I’m making a thing and I want it to be styled different if the link’s been visited. Rather than build something myself in JavaScript, I figure I’ll just hook into the browser’s mechanism for tracking if a link’s been visited (a sensible approach, if I d…

via Jim Nielsen’s Blog February 1, 2026

$29 million stolen from from Step Finance treasury wallets

The Solana-based defi portfolio tracker Step Finance lost 261,854 SOL (~$28.7 million) when a thief gained access to treasury and fee wallets. It's not yet clear how the attacker was able to steal the funds, although Step Finance…

via Web3 is Going Just Great February 1, 2026

Generated by openring