this post was submitted on 14 Oct 2024
18 points (100.0% liked)

Python

6339 readers
3 users here now

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

πŸ“… Events

PastNovember 2023

October 2023

July 2023

August 2023

September 2023

🐍 Python project:
πŸ’“ Python Community:
✨ Python Ecosystem:
🌌 Fediverse
Communities
Projects
Feeds

founded 1 year ago
MODERATORS
[email protected]
[email protected]
[email protected]
18
Multiple process or threads? And, why? (programming.dev)
submitted 3 weeks ago by [email protected] to c/[email protected]
16 comments fedilink hide all child comments
 

(For context, I'm basically referring to Python 3.12 "multiprocessing.Pool Vs. concurrent.futures.ThreadPoolExecutor"...)

Today I read that multiple cores (parallelism) help in CPU bound operations. Meanwhile, multiple threads (concurrency) is due when the tasks are I/O bound.

Is this correct? Anyone cares to elaborate for me?

At least from a theorethical standpoint. Of course, many real work has a mix of both, and I'd better start with profiling where the bottlenecks really are.

If serves of anything having a concrete "algorithm". Let's say, I have a function that applies a map-reduce strategy reading data chunks from a file on disk, and I'm computing some averages from these data, and saving to a new file.

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 3 points 3 weeks ago (1 children)

For small, highly parallel operations, probably Python isn't the right language and something like Rust should be explored.

You could also try Julia, which, if I'm not mistaken, handles concurrency and parallelism well, but is also interactive and easy to write like python.

[–] [email protected] 1 points 3 weeks ago (1 children)

Does it also support writing compiling or exporting to python modules?

Anti Commercial-AI license

[–] [email protected] 2 points 3 weeks ago

I don't think so, there was some discussion about why writing Julia as a python transpiler wouldn't work as well. But it does supposedly have very good interoperability, both ways - calling Julia functions from Python or vice versa.