Python

6381 readers

64 users here now

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

📅 Events

Past

November 2023

PyCon Ireland 2023, 11-12th
PyData Tel Aviv 2023 14th

October 2023

PyConES Canarias 2023, 6-8th
DjangoCon US 2023, 16-20th (!django 💬)

July 2023

PyDelhi Meetup, 2nd
PyCon Israel, 4-5th
DFW Pythoneers, 6th
Django Girls Abraka, 6-7th
SciPy 2023 10-16th, Austin
IndyPy, 11th
Leipzig Python User Group, 11th
Austin Python, 12th
EuroPython 2023, 17-23rd
Austin Python: Evening of Coding, 18th
PyHEP.dev 2023 - "Python in HEP" Developer's Workshop, 25th

August 2023

PyLadies Dublin, 15th
EuroSciPy 2023, 14-18th

September 2023

PyData Amsterdam, 14-16th
PyCon UK, 22nd - 25th

🐍 Python project:

💓 Python Community:

#python IRC for general questions
#python-dev IRC for CPython developers
PySlackers Slack channel
Python Discord server
Python Weekly newsletters
Mailing lists
Forum

✨ Python Ecosystem:

🌌 Fediverse

Communities

#python on Mastodon
c/django on programming.dev
c/pythorhead on lemmy.dbzer0.com

Projects

Pythörhead: a Python library for interacting with Lemmy
Plemmy: a Python package for accessing the Lemmy API
pylemmy pylemmy enables simple access to Lemmy's API with Python
mastodon.py, a Python wrapper for the Mastodon API

Feeds

founded 1 year ago

MODERATORS

[email protected]

Multiple process or threads? And, why? (programming.dev)

submitted 1 month 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] 1 points 1 month ago

I recall reading a white paper on how multi-processing is pretty easy to debug and get right, but that multi-threading was actually impossible due to cartesian explosion of possible states and multiple writers to the same memory space.