Hacker News Reader

Tangentially, 3.11 was the first release in quite some time to have major speed improvements across the board. The average is 25%, sometimes far more.

Anyone who hasn’t upgraded to it by now is needlessly spending extra on compute.

View on HN

It's only 25% speedup in actual Python code, in domains like data science this won't matter much, because your cpu cycles are mostly spent inside numpy.

It does matter if you run your ML models in production. After we upgraded to 3.12 the average response time ~4-6ms decreased to stable sub 2ms. Latency decrease for p95 and p99 were even more significant

There are plenty of web apps running in pure Python. It matters a great deal for them.

Reply on news.ycombinator.com