I've learned python after CPP... And I can't #even remember all the cases when I thought "damn, I wish I could've just used pointers"
Let me guess. Are the Java and Python programmers happy after because they leave up their technical debt for someone else to resolve? 🤭
Rust:
Jesus Christ! No thanks! I can't imagine improperly placing cabinet knobs on closet doors like that
I already hate that style of door but the knobs make it even worse
Missing a fursuit or cat ears and a tail plug
Or fox ears :3
Foxgirls are absolutely valid sorry for this erasure
I prefer cat ears and tail plug. Im not a furry, I'm a catgirl :3
(No problem with furrries tho)
Catgirls are cute and I will pet any who will allow
Mrrp :3
(I wan headpats)
Pink Fedora logo is class
Lmao, bruh. How do people keep praising a language where messing up a space breaks everything and there is no real type system?
Not even the worst. This function declarations with separations between positional and enum variables... Or the infamous global...
The whitespace doesn't bother me. Any IDE worth a damn will manage that for you. As for the type system, yeah, I strongly prefer static typing, but for simpler projects I can see the convenience of it.
My real issue with Python comes with managing a development environment when multiple developers are working on it. Dependency management in Python is a headache, and while in theory, virtual envs should help with synchronizing environments from machine to machine, I still find it endlessly fiddly with a bunch of things that can go wrong that are hard to diagnose.
Python is great for small scripts, proofs-of-concept, and such, but I wouldn't write anything more heavy-duty than that in it.
Any IDE worth a damn will manage that for you.
Yeah in like 10% of cases. I'm copying something from a pdf my prof gave. The only ones able fix spacing now are me and God
You can totally write heavy duty things if you know what you're doing: use type hints, static checkers, tests, etc. It just takes a bit more effort and care.
But why would I use something that takes more effort and care?
I'm sure you're right and it's possible, but if I don't have to fix another python project at work I'll be in heaven.
Because "more effort and care" in Python is still way less of a pain in the ass than the minimum enforced boilerplate necessary in most other languages.
Personally, my estimate doubles when we're asked to implement something in Python...
That's a proficiency matter. Python is the language I can get something done the fastest today, but 6 years ago that would be Java or even JS for me.
Yeah, working on python projects professionally is always a nightmare of configuring env variables and trying to get your system to perfectly match the reference dev system. I find Node.js projects to often be the simplest and most pain free to setup, but even compiled languages like C# and Java are often easier to get up and going than python.
Haha: "A space breaks everything." Fuck YES! Are you kidding me‽ It's one of the best features!
Why? Because it's so easy to see. In other languages you've got semicolons which are surprisingly difficult to notice when they're missing. Depending on the situation (or if you're just new to programming) you could spend a great deal of time troubleshooting your code only to find out that you're missing a semicolon. It's frustrating and it makes you feel stupid which is never a good thing for people who are new programming.
Types are in a different category altogether with seemingly infinite reasons why you'd want a feature-rich, low-level type system and also why you'd want to avoid that.
IMHO, the point of Python is to be a simple language that's quick to write yet also very powerful and speedy when you need it to be (by taking advantage of modules written in C or better, Rust). If it had a complex type system I think it would significantly lower the value of the language. Just like how when I see an entire code repo using Pydantic and type hints everywhere it makes the code unnecessarily complex (just use type hints where it matters 🙄).
I'm not saying using type hints on everything is a terrible thing... I just think it makes the code harder to read which, IMHO defeats the point of using Python and adds a TON of complexity to the language.
The promise of type hints is that they'll enable the interpreter to significantly speed up certain things and reduce memory utilization by orders of magnitude at some point in the future. When that happens I'll definitely be reevaluating the situation but right now there doesn't seem to be much point.
For reference, I've been coding in Python for about 18 years now and I've only ever encountered a bug (in production) that would've been prevented by type hints once. It was a long time ago, before I knew better and didn't write unit tests.
These days when I'm working on code that requires type hints (by policy; not actual necessity) it feels like doing situps. Like, do I really need to add a string type hint to a function called, parse_log()? LOL!
I don't mean this insultingly because lots of programming jobs don't require this and for the ones that do we still tend to all start here, but in all honesty this sounds like it's coming from someone who's never worked on a large project maintained by multiple people over time.
First of all, the hysteria over semicolons is ridiculous when JavaScript, Typescript, C#, Java, Go, Swift, etc. etc. wil all automatically highlight missing semicolons, if not automatically insert them for you when paired with an IDE and standard linter. On top of that, JavaScript and Typescript do not require semicolons at all, but they are still used alongside braces, because they make your code more scannable, readable, and moveable.
Secondly, without type safety your code is no longer predictable or maintainable. If you're working to quickly sketch out some new fangled logic for a research paper it's one thing, if you need to write test code so that your codebase can be tested an infinite number of times by other coders and whatever CI/ CD pipelines to make sure that nothing's broken, then all of the sudden you start seeing the value in strict typing.
Honestly, complaining about type safety adding "extra code" is a complaint that almost every coder has when they start out, before you eventually realize that all that "extra code" isn't just boiler plate for no reason but is adding specificity, predictability, reusability, and maintainability to your code base.
When defining types looked like this it was one thing:
String name = new String("Charles Xavier");
But when it looks like this, there's no reason not to use strong typing:
const name = "Charles Xavier";
Anyone who thinks a strong type system is a drawback has never worked on any real project where you actually have to collaborate with others.
Yeah, the alternative to static typing is to write tons of unit tests, which definitely adds a lot more code to your codebase.
It’s kinda funny that Godot’s custom language GDScript is, at least on a surface level, pythonic (no list comprehensions, context managers, decorators, etc, it’s mostly syntactical similarities). But type hints do make it run faster!
I was blessed to get to skip most of the old pains in python. I only had a handful of scripts that ever needed to be ported from 2 and they didn’t rely on any libraries. The ecosystem is easy to work with and I’m looking forward to working with Python for the foreseeable future
Java is in a completely different leagues to the rest of these.
Whatever you think Java sucks at, the other languages mentioned here suffer from much worse.
A language is only as enjoyable as the hellish legacy projects that you'll actually spend your time maintaining.
That’s why the Java programmer looks happier in the “after” pic. Not as much as Python but it’s still there.
The jpeg is strong, but if you look closely she is covered with scabs and sores.
Checks out
PHP
That’s PCP
Python managed to turn me away before I wrote a single line of code.
Running an already functional project took me nearly two hours and three separate tutorials.
What's so difficult?
import project as p
p.run()
Hmm, I follow the package's readme and only get invalid command errors.
Gotta install the pip dependencies.
Oh but first you need to create a venv or everything will be global. Why isn't that local by default like with npm? Hell if I know!
Ah but before that I need to install the RIGHT version of Python. The one I already have likely won't do. And that takes AGES.
Oh but even then still just tells me the command is invalid. Ah, great, I live CLIs. Now I've gotta figure out PATH variables again and add python there. Also pip maybe?
Now I can follow the readme's instructions! Assuming I remember to manually open the venv first.
But it only gives me errors about missing pieces. Ugh. But I thought I installed the pip dependencies!
Oh, but turns out there's something about a text file full of another different set of dependencies that I need to explicitly mention via CLI or they won't be installed. And the readme didn't mention that, because that's apparently "obvious". No it's not; I'm just a front-end developer trying to run the darn thing.
Okay. Now it runs. Finally. But there's a weird error. There might be something wrong with my .env file. Maybe if I add a print statement to debug... Why isn't it showing up?
Oooh, I need to fully rebuild if I want it to show up, and the hot reload functionality that you can pass a command line argument for doesn't work... Cool cool cool cool.
yeah, all that setup sucks even after being writing python for years.
Nowadays I've been running every project with uv and it's a much better and faster experience, usually in 3 steps: 1. initialize, 2. add dependencies, 3. run project:
# if the project doesn't already have a pyproject.toml with dependencies, initialize it
# uv will also install the right interpreter if not present:
uv init --python 3.13
# anything you would install with pip, use uv add:
uv add dep1 dep2
# run the project / script
uv run main.py
Then in future runs (as long as you have the pyproject.toml), you can just do uv run main.py (shorthand to uv run python main.py), even when there's no venv created. No more activating virtual envs. No more long interpreter installations. No more accidentally messing with system's packages or the PATH variable. With the uv.lock that's also a lot more reliable to reproduce than requirements.txt and similar.
This does not reflect my experience with python at all. Except the version thing used to be a thing. Not really any more.
You can't see the C one because it went by too quickly.
Python?? False
Post funny things about programming here! (Or just rant about your favourite programming language.)