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If you don't add comments, even rudimentary ones, or you don't use a naming convention that accurately describes the variables or the functions, you're a bad programmer. It doesn't matter if you know what it does now, just wait until you need to know what it does in 6 months and you have to stop what you're doing an decipher it.
it doesn't matter if you don't know what it does now
If I don't know what it does now my comment of "I have no idea wtf this does" won't help me in 6 months.
Dynamic typing is insane. You have to keep track of the type of absolutely everything, in your head. It's like the assembly of type systems, except it makes your program slower instead of faster.
Nothing like trying to make sense of code you come across and all the function parameters have unhelpful names, are not primitive types, and have no type information whatsoever. Then you get to crawl through the entire thing to make sense of it.
Python is only good for short programs
Python should not be used for production environments, or anything facing the user directly. You are only inviting pain and suffering.
Python is only good for short programs
Was Python designed with enterprise applications in mind?
It sounds like some developers have a Python hammer and they can only envision using that hammer to drive any kind of nail, no matter how poorly.
I mean, it's still a very nice language. I can see someone, marveled by that, would endeavor to make bigger things with it. I just don't feel it scales that well.
I agree. The GIL and packaging woes are a good indication that it's range of applications isn't as extensive as other tech stacks.
packaging woes
My own hot take is that I hear this criticism of Python a lot, but have never had anyone actually back it up when I ask for more details. And I will be very surprised to hear that it's a worse situation than Java/TypeScript's.
We used to have a Python guy at my work. For a lot of LITTLE ETL stuff he created Python projects. In two projects I've had to fix up now, he used different tooling. Both those toolings have failed me (Poetry, Conda). I ended up using our CI/CD pipeline code to run my local stuff, because I could not get those things to work.
For comparison, it took me roughly zero seconds to start working on an old Go project.
Python was built in an era where space was expensive and it was only used for small, universal scripts. In that context, having all packages be "system-wide" made sense. All the virtual env shenanigans won't ever fix that.
In that context, having all packages be “system-wide” made sense. All the virtual env shenanigans won’t ever fix that.
Sorry, but you'll need to explain this a little bit more to me. That's precisely what virtual env shenanigans do - make it so that your environment isn't referencing the system-wide packages. I can totally see that it's a problem if your virtual env tooling fails to work as expected and you can't activate your environment (FWIW, simply old
python -m venv venv; source venv/bin/activatehas never let me down in ~10 years of professional programming, but I do believe you when you say that Poetry and Conda have broken on you); but assuming that the tools work, the problem you've described completely goes away.
Check out home assistant.
I don’t mean it doesn’t work for larger projects. Just that it’s a pain to understand other’s code when you have almost no type information, making it, to me, a no go for that
Larger projects in Python (like homeassistant) tend to use type-hints and enforce them through linters. Essentially, these linters (with a well-setup IDE) turn programming in large Python projects into a very similar experience to programming a statically typed language, except that Python does not need to be compiled (and type-checked) to run it. So you can still run it before you have satisfied the linters, you just can’t commit or push or whatever (depending on project setup).
And yes, these linters and the Python type system are obviously not as good as something like a Go or Rust compiler. But then again, Python is a generalist language: it can do everything, but excels at nothing.
Go and rust are also generalist languages. Basically all main stream programming languages are and are equally as powerful (in terms of what they can do, rather than performance) as each other as they are all Turing complete. So you can emulate c in python or python in c for instance).
Anything you can do in python you can do in basically any other mainstream language. Python is better at some niches than others just like all other languages are with their own niches - and all can be used generally for anything. Python has a lot of libraries that can make it easier to do a large range of things than a lot of other languages - but really so do quite a few of the popular languages these days.
Not that you are wrong, but it was super weird to read that “python can be emulated in c”.
I mean yes… But…
That's actually a good idea, enforcing it. Still, do these linters protect against misuse? E.g I have an int but place a string on it somewhere?
Yes, in a good dev workflow mypy errors will not pass basic CI tests to get merged. Types are not really a problem in modern Python workflows, you can basically have a better type checker than Java out of the box (which can be improved with static analysis tools). The biggest problem with Python remains performance.
Not sure if these are hot takes:
- Difficult to test == poorly designed
- Code review is overrated and often poorly executed, most things should be checked automatically (review should still be done though)
- Which programming language doesn't matter (within reason), while amount of programming languages matters a lot
I've been wanting to make my applications easier to test. The issue is, I don't know what to test. Often my issues are so trivial I notice them immediately.
What are some examples of common things in, let's say a web server, that could be unit tested?
The best codebase I have ever seen and collaborated on was also boring as fuck.
- Small, immutable modules.
- Every new features was coded by extension (the ‘o’ in S.O.L.I.D)
- All dependencies were resolved by injection.
- All the application life cycle was managed by configurable scopes.
- There was absolutely no boiler plate except for the initial injectors.
- All of the tests were brain-dead and took very minimal effort to write. Tests served both as documentation and specification for modules.
- “Refactoring” was as simple as changing a constructor or a configuration file.
- All the input/output of the modules were configurable streams.
There is more to it, but basically, it was a very strict codebase, and it used a lot of opinionated libraries. Not an easy codebase to understand if you’re a newbie, but it was absolutely brain dead to maintain and extend on.
Coding actually took very little time of our day, most of it consisted of researching the best tech or what to add next. I think the codebase was objectively strictly better than all other similar software I’ve seen and worked on. We joked A LOT when it came time to change something in the app pretending it would take weeks and many 8 pointers, then we’d casually make the change while joking about it.
It might sound mythical and bullshity, and it wasn’t perfect, it should be said that dependency injection often come in the form of highly opinionated frameworks, but it really felt like what software development should be. It really felt like engineering, boring and predictable, every PO dreams.
That being said, I given up trying to convince people that having life-cycle logic are over the place and fetching dependencies left and right always lead to chaos. Unfortunately I cannot really tell you guys what the software was about because I am not allowed to, but there was a lot of moving parts (hence why we decided to go with this approach). I will also reiterate that it was boring as fuck. If anything, my hot take would be that most programmers are subconsciously lying to themselves, and prefer to code whatever it is they like, instead of what the codebase need, and using whatever tool they like, instead of the tools the project and the team need. Programming like and engineer is not “fun”, programming like a cowboy and ignoring the tests is a whole lot of fun.
Compiler checked typing is strictly superior to dynamic typing. Any criticism of it is either ignorance, only applicable to older languages or a temporarily missing feature from the current languages.
Using dynamic languages is understandable for a lot of language “external” reasons, just that I really feel like there’s no good argument for it.
Yeah the error list is my friend. Typos, assigning something to the wrong thing or whatever is fixed without having to run the code to test it. Just check the error list and fix any dumb mistakes I made before even running the thing. And I can be confident in re-factoring, because renaming something is either going to work or give a compiler error, not some run-time error which might happen in production weeks later.
It's much easier to work with streams of untyped data in a weakly typed language.
My take is that no matter which language you are using, and no matter the field you work in, you will always have something to learn.
After 4 years of professional development, I rated my knowledge of C++ at 7/10. After 8 years, I rated it 4/10. After 15 years, I can confidently say 6.5/10.
I really love the project structure of C++. I know ghat it is an archaic design developed like this due to lack of resources, but I find packages extremely offputting.
The first reason is that splitting declaration and implementation across files makes it easier to figure out what something does.
Second reason is that I feel that I have more control over libraries and packages that have to be manuallyaddedto a project rather than using a package manager.
Third, I feel like modern languages iterate over too many versions too fast. C++ has version releases too, but I feel that versioning is handled better from time, compatibility and stability.
SPAs are mostly garbage, and the internet has been irreparably damaged by lazy devs chasing trends just to building simple sites with overly complicated fe frameworks.
90% of the internet actually should just be rendered server side with a bit of js for interactivity. JQuery was fine at the time, Javascript is better now and Alpinejs is actually awesome. Nowadays, REST w/HTMX and HATEOAS is the most productive, painless and enjoyable web development can get. Minimal dependencies, tiny file sizes, fast and simple.
Unless your web site needs to work offline (it probably doesn't), or it has to manage client state for dozen/hundreds of data points (e.g. Google Maps), you don't need a SPA. If your site only needs to track minimal state, just use a good SSR web framework (Rails, asp.net, Django, whatever).
I loathe JavaScript heavy websites, especially when used for forms. Don’t break autofill and copy/paste. And don’t complain about the format just because I pasted! Seriously, why is pasting text in the correct format triggering some JavaScript framework? It all seriously gets to me.
With that said, I really like Hotwire. HTML over the wire is bliss. Stimulus is perfect for sprinkling non-invasive JavaScript throughout an application.
I’m still hoping for browsers to become some kind of open standard application environments and web apps to become actual apps running on this environment.
How are browser not that already? What’s missing?
They are an open standard and used to make many thousands of apps.
Tabs are better than spaces
Tabs are literally designed for aligned indentation, and they’re configurable for clientside viewing. There is no excuse for spaces. I don’t care if your goddang function arguments line up once they spill out onto another line. You’ve got deeper problems.
Tabs are designed for tabulation (hence the name), not indentation. The side effect is that a tab’s length changes based on its position in a line, which is terrible for programming. If you use tabs in the Python REPL, it looks like this:
>>> def frobnicate_all(arr): >>> for item in arr: >>> frobnicate(item)a tab’s length changes based on its position in a line
What does this even mean? A tab is a tab.
Tab’s don’t have multiple lengths inside a file, they all have the same length.
That’s the point of tabs.
I am not smart enough to effectively code with certain languages and design patterns and that’s ok. There is nothing wrong with accessibility being prioritized or with making tradeoffs for the sake of reducing complexity.
what makes you say you are not smart enough? I do not think there is a “smartness” scale to design patterns.
You have to learn and conceptualize it. Some things are harder than others to learn and conceptualize. Some tasks can be easily broken down piece by piece, some you can’t do without modeling a complex system in your head. There is definitely a “smartness” scale if only because things have different demands on attention, perception, and short term memory.
Refactoring is something that should be constantly done in a code base, for every story. As soon as people get scared about changing things the codebase is on the road to being legacy.
Doesn’t everybody agree with this? I really never thought of it as a hot take.
Today I removed code from a codebase that was added in 2021 and never ever used. Sadly, some people are as content to litter in their repo as they are in the woods.
Programing is a lot less important than people and team dynamics
People can always be replaced, they’re irrelevant.
Sure try to replace the one or two people that hold the whole team together. I’ve seen it a couple times, a good team disintegrates right after one or two key people leave.
Also, if you replace half the team, prepare for some major learning time whenever the next change is being made. Or after the next deployment. 🤷♂️
The code can always be rewritten, it is irrelevant.
And it will change next week anyway. 😁
Agile in it’s current implementation with excessive meetings wastes more time than the mistakes it tries to avoid.
Make your app use native components instead of making your own crappy theme for the 782th time
