I usually read news like this so this is my opinion about this subject: python is a good language for prototype, PoC, and general tasks where performance and security is not really important. For other uses languages like C, C++, Rust, Fortran, and libs like MIPS are better option. I think every language has its pros and cons, so the optimal is select the best language for the particular task, no try to change the language for be the best in all aspects (it is impossible).
Python
Welcome to the Python community on the programming.dev Lemmy instance!
π 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 π¬)
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
π Python project:
- Python
- Documentation
- News & Blog
- Python Planet blog aggregator
π 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
β¨ Python Ecosystem:
π Fediverse
Communities
- #python on Mastodon
- c/django on programming.dev
- c/pythorhead on lemmy.dbzer0.com
Projects
- PythΓΆrhead: 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
There is also lots of fields where Python performance isn't the bottleneck. In my backend web application, Python isnt holding us back and actually help us deliver features faster. And we can scale to much more clients before performance starts being an issue.
My last project was a legacy Django web app, that actually worked fairly well, the problem was the shitty codebase but it was in Production for almost 10 years, thousands of users and everything worked
I agree with you. Python us a good language and it suites very nice for a lot of productive uses cases. The problem is when high performance is a mandatory requirement, in this cases I suggest other options better than Python.
I do agree with you on performance, but what makes python unsuitable where security is important?
Dynamic typing is a potential source of security problems
there can also ne inertia for existing projects though. for example it can be tough to get more research-y work (eg grad students) to switch over from r/python/Matlab for data processing in favor of c/rust
They could probably have gotten similar results by using a combination of numpy and numba. They could also have just written a C extension which they basically did. The key is to get the final code to run both in parallel and vectorize on your exact hardware. So there are compiler flag choices too if your using C. Nice though.