this post was submitted on 16 Aug 2023
69 points (92.6% liked)
Python
6360 readers
12 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
- Documentation
- News & Blog
- Python Planet blog aggregator
💓 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
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
How true is that still? I know python 3.2/3.4/3.6 there were significant performance issues on simple pieces of code. But python 3.9/3.11 have been significantly faster. I imagine I could write faster C++ code, but I definitely couldn't write it nearly as fast or nearly as readable.
Python has gotten faster, but it’s still nowhere near what you expect from traditional compiled languages. It can’t be.
The trick to writing performant Python code is to get good (native) libraries and let it handle the heavy lifting.
For performance sensitive stuff, the fact that pure Python is very slow really matters. For stuff that’s not performance sensitive (that is, 99% of the code out there) it doesn’t really matter, but even then it’s better to be fast than to be slow.
Now this is not something I would ordinarily have a problem with. I use Python for a reason and it’s not performance. But if I end up writing Python like it’s rust, I might as well do rust and reap the (massive!!!) performance and memory profile benefits too while I’m at it.
Python3.10 was ~27x slower than Compiled C++ in this benchmark. Python 3.11 dropped that down to 17x just out of the box. Additionally, you can always write a python module in C or C++ to get the benefits of compilation. With the maintainability and flexibility of python.