24
top 1 comments
sorted by: hot top controversial new old
[-] furrowsofar@beehaw.org 1 points 7 months ago* (last edited 7 months ago)

I think it depends on how good your Numpy build is. Lot of Numpys are not that well built so Numba seems to help there too in that case.

For a python library to be fast it needs to be compiled for your specific hardware, vectorized, with fast math, and auto parallel. Most are probably not unless you build them youself.

this post was submitted on 21 Mar 2024
24 points (100.0% liked)

Python

6325 readers
236 users here now

Welcome to the Python community on the programming.dev Lemmy instance!

📅 Events

PastNovember 2023

October 2023

July 2023

August 2023

September 2023

🐍 Python project:
💓 Python Community:
✨ Python Ecosystem:
🌌 Fediverse
Communities
Projects
Feeds

founded 1 year ago
MODERATORS