[aaronscott]

> I like to define my subroutines using a modern language like C++, which goes 47 gigaflops. This means C++ is three orders of a magnitude faster than Python. That's twenty years of progress per Moore's law.

This is great. I love the idea of measuring performance differences in “years of Moore’s law.”

Twenty years puts the delta in an easy to understand framework.

[JohnKemeny]

I doubt that you get Python to run faster than C++ at 2004 hardware.

[mrtranscendence]

Python on 2024 hardware vs C++ on 2004 hardware ... I don't think it's obvious that C++ always wins here, though it would depend on the use case, how much of the Python is underpinned by native libraries, and the specific hardware in question.

[bevekspldnw]

Honestly depends on what you are doing. Most of my python work is data collection and analysis on top of Postgres.

Being smart in how I use Postgres indexing (and when to disable it outright) has more performance impact than the actual language doing the plumbing.