this post was submitted on 15 Jun 2024
76 points (91.3% liked)

Python

6356 readers
2 users here now

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

๐Ÿ“… Events

PastNovember 2023

October 2023

July 2023

August 2023

September 2023

๐Ÿ Python project:
๐Ÿ’“ Python Community:
โœจ Python Ecosystem:
๐ŸŒŒ Fediverse
Communities
Projects
Feeds

founded 1 year ago
MODERATORS
[email protected]
[email protected]
[email protected]
76
Why Python Is So Slow (And What Is Being Done About It) (thenewstack.io)
submitted 5 months ago by [email protected] to c/[email protected]
47 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[โ€“] [email protected] 3 points 5 months ago (1 children)

A process pool means extra copying of data around which incurs a huge cost and this is made worse by the tendency for parallel-processing-friendly workloads often consisting of large amounts of data.

[โ€“] sugar_in_your_tea 2 points 5 months ago

Yup, which is why you should try to limit the copying by designing your parallel processing algorithm around it. If you can't, you would handle threading with a native library or something and scale vertical instead of horizontal. Or pick a different language if it's a huge part of your app.

But in a lot of cases, it's reasonable to stick with Python and scale horizontally. That has value if you're otherwise a Python shop.