this post was submitted on 18 Nov 2024
34 points (88.6% liked)
Python
6393 readers
14 users here now
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
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
Maintainable? I have not ever had to work with any large Python projects, but from what I have heard, maintenance is a large pain point.
My small Python (~100 lines of codes) codes aren't maintainable, but I'm happy with them. I don't ever plan to work on serious projects with Python, so I can't say much about it's maintainability. But, from limited experience, I'd rather use C++, C#, or in my special case, G'MIC if maintainability matters to me.
There's one key qualifier in this sentence: I know. One's skill set matters, I guess...
Let me guess: The author knows Python, C, C++, Java and maybe PHP.
Also fastest to write? I'd say JS or Ruby are just as fast or barley slower.
What most people mean is that Python has great Libraries which do the thing you want without much fuss. But thats more on the libraries than on the language.
iβm proficient in all 3, and i can say with great certainty that generally python is far faster to write
certainly when youβre talking about JS rather than TS, and achiving a usable outcome rather than bashing together bug-ridden trash
I do not know Ruby, but Python has a lot of syntactic sugar that, if one becomes used to and proficient with it, makes writing much faster than other languages I know (including JavaScript).
Ruby has enough syntactic sugar to give you type 2 diabetes honestly.
It's not too bad if you strictly enforce Pyright, Pylint and Black.
But I have yet to work with Python code other than my own that does that. So in practice you are right.
There are dozens of us. Dozens!
My work uses python and it hasn't been bad for new code that has tests and types. Old code we inherited from contractors and "yolo startup" types is less good, but we've generally be improving that as we touch it.
i had the misfortune once of having to try to understand a >400kLoC python codebase in a critical position and let me tell you that maintainability is a Problem. the system was older than most of the best practices of today and had a structure i can only describe as "a duolith of sqlalchemy soup".
Python has typing hints which mypy uses. It's similar to something javascripts wants to introduce call type annotations. It also has linters and formatters (ruff which does the work of multiple tools in one and is very fast). It also has unit tests built in as well as popular test libraries like pytest and nox and tox for running tests.
It is up to the maintainers to use the tools they have been given to make projects maintainable. I have worked on and seen very maintainable python projects of various sizes. While legacy code is always a bit of a nightmare (python 2 and < python 3.6), it doesn't have to be that way and getting into a python project nowadays is way easier than most other languages I've tried (maybe also because it's what I know well).
Anti Commercial-AI license
Yup. Part of what makes python so easy and fast is the lack of things built into languages so they are maintainable in a large project.
Take duck typing. It's so easy when you have a small project that can fully understood by a developer. Get into a big project with 10000 classes and you need explicit classes and interfaces just to understand what is going on.
Python is by far one of the worst languages I've ever seen in relation to maintainability, second only to Javascript (due to missing types, which are fixed by Typescript).
Seriously, it's rare for a Python project with more than 1,000 lines to not turn into an absolute mess thanks to the layers upon layers of meta programming, weird edge cases and so on. There are whole bad patterns I've never seen beyond Python codebases.
Things are improving slowly thanks to type hints and so on, but they are still far from where they need to be. Python is used in even more dynamic ways than JS, so the type system needs to be more expressive than TS. You can't even define a function that appends two tuples with proper type hints!
I don't know when the last time you worked on a python project was (professionally or privately), but things have changed. If all you know if python and python projects from 10 years ago, I'd agree with you, but modern python projects can be made very maintainable. See my other comment.
As for meta programming, dude, I don't know if you're seen C++ templates...
Anti Commercial-AI license
Yes, they can be written in maintainable ways, I didn't disagree in my original comment. That doesn't change that most of the projects I come across to this day are absolutely unmaintainable messes. I'm not talking about Python from 10 years ago, I'm talking about the projects I encounter now.
The biggest issue is that you have to limit yourself to a mostly non-dynamic subset of Python if you want type checking etc. to work, and you have to write your own type definitions for many dependencies. Most projects don't do that, they instead lean into the dynamic nature of Python, which makes them unmaintainable after little time.