- cross-posted to:
- programmerhumor@lemmy.ml
- cross-posted to:
- programmerhumor@lemmy.ml
Also, do y’all call main() in the if block or do you just put the code you want to run in the if block?
The if block is where my arg parser goes
Sometimes I have the misfortune of working with python code written by someone else and I wonder how a language like this became anything more than a scripting language
I feel that Python is a bit of a ‘Microsoft Word’ of languages. Your own scripts are obviously completely fine, using a sensible and pragmatic selection of the language features in a robust fashion, but everyone else’s are absurd collections of hacks that fall to pieces at the first modification.
To an extent, ‘other people’s C++ / Bash scripts’ have the same problem. I’m usually okay with ‘other people’s Java’, which to me is one of the big selling points of the language - the slight wordiness and lack of ‘really stupid shit’ makes collaboration easier.
Now, a Python script that’s more than about two pages long? That makes me question its utility. The ‘duck typing’ everywhere makes any code that you can’t ‘keep in your head’ very difficult to reason about.
How do you feel about other peoples Go code?
Go code is always an abomination.
Succinctly and well put.
I used it for a while and I think it’s been one of the best languages I’ve tried. C for example is too barebones for modern desktop apps. Apps written in Rust are great but most of the time, it’s just not worth the effort. And stuff like Python, JS is… uhh… where do I even begin
I think Go hits the sweet spot between these. Unlike C, it at least has some simple error/panic mechanism, GC so you don’t have to worry about memory much and some modern features on top of that. And unlike Python it can actually create reasonably snappy programs.
In any programming language, there will always be multiple cases where you need to link C libraries. CGo, although people don’t seem to be adoring it, is actually… okay? I mean of course it does still have some overhead but it’s still one of the nicer ways to link C libraries with your code. And Go being similar to C makes writing bindings so much easier
Multithreading in Go is lovely. Or as I read somewhere “you merely adopted multithreading, I was born with it”
Packaging is handled pretty nicely, pulling a library from the net is fairly trivial. And the standard directory structure for Go, although I’m not used to it, makes organizing stuff much easier and is easy to adopt
As you would’ve guessed from the amount of times I mentioned C in this comment, I basically see Go as the “bigger C for different situations”
Well now. My primary exposure to Go would be using it to take first place in my company’s ‘Advent of Code’ several years ago, in order to see what it was like, after which I’ve been pleased never to have to use it again. Some of our teams have used it to provide microservices - REST APIs that do database queries, some lightweight logic, and conversion to and from JSON - and my experience of working with that is that they’ve inexplicably managed to scatter all the logic among dozens of files, for what might be done with 80 lines of Python. I suspect the problem in that case is the developers, though.
It has some good aspects - I like how easy it is to do a static build that can be deployed in a container.
The actual language itself I find fairly abominable. The lack of exceptions means that error handling is all through everything, and not necessarily any better than other modern languages. The lack of overloads means that you’ll have multiple definitions of eg.
Math.mincluttering things up. I don’t think the container classes are particularly good. The implementation of pointers seems solely implemented to let you have null pointer exceptions, it’s a pointless wart.If what you’re wanting to code is the kind of thing that Google do, in the exact same way that Google do it, and you have a team of hipsters who all know how it works, then it may be a fine choice. Otherwise I would probably recommend using something else.
This is the most excellent summary of Go I have ever read. I agree with everything you’ve said, although as a fan of Scala and in particular its asynchronous programming ecosystem (cats for me, but I’ll forgive those who prefer the walled garden of zio) I would also add that, whilst its async model with go routines is generally pretty easy to use, it can shit the bed on some highly-concurrent workloads and fail to schedule stuff in time that it really should’ve, and because it’s such a mother-knows-best language there’s fuck all you can do to give higher priority to the threads that you happen to know need more TLC
I’m now 1 year in to working in Go having been mostly C++ and then mostly large-scale Python dev (with full type annotation).
Frankly, I bristle now at people giving Python a hard time, having worked with Go and I now hate Go and the de-facto ethos that surrounds it. Python may be slow, but for a lot of use cases not in any way that matters and modern computers are very fast. Many problem areas are not performance-limited, and many performance problems are algorithmic, not from raw statement execution. I even rewrote an entire system in Python and made it use 20% of the CPU the former C++ solution used, while having much more functionality.
The error returns drive me nuts. I looked around for explanations of the reasoning as I wasn’t seeing it, and only found bald assertions that exceptions get out of control and somehow error returns don’t. Meanwhile standard Go code is very awkward to read because almost every little trivial function calls becomes 4 lines of code, often to do nothing but propagate the error (and errors are just ignored if you forget…). With heavy use of context managers, my error and cancellation handling in Python was always clean, clear, and simple, with code that almost read like whiteboard pseudo-code.
The
selectstatement can be cool in Go, but then you realize that literally 98% of the times it’s used, it’s simply boilerplate code to (verbosely) handle cancellation semantics via the context object you have to pass everywhere. Again, literally code you just don’t need in exception-based languages with good structures to manage it like Python context managers.And every time you think “this is stupidly awkward and verbose, surely there’s a cleaner way to do this” you find people online advocating writing the same boilerplate code and passing it off as a virtue. e.g. get a value from a map and fall back to a default if it’s not there? Nope, not offering that, so everyone must write their own
if foo, ok := m[k]; !ok {...}crap. Over and over and over again the answer is “just copy this chunk of code” rather than “standard libraries should provide these commonly needed utilities”. Of course we can do anything we want ourselves, it’s Turing Complete, but why would we want to perpetually reinvent these wheels?It’s an unpopular language, becoming less popular (at least by Google trends) and for good reason. I can see it working well for a narrow set of low level activities with extreme concurrency performance needs, but it’s not the only language that could handle that, and for everything else, I think it’s the wrong choice.
other people’s Java
I’m gonna have to disagree here, it’s always a guessing game of how many layers of abstraction they’ve used to seemingly avoid writing any implementation code… Can’t put the code related to “bicycles” in the
Bicycleclass, no, that obviously goes inWheeledDeviceServiceFactoryBeanImplthat’s in the ‘utils’ package.Enough of that crazy talk - plainly
WheeledDeviceServiceFactoryBeanImplis where the dependency injection annotations are placed. If you can decide what the code does without stepping through it with a debugger, and any backtrace doesn’t have at least two hundred lines of Spring boot, then plainly it isn’t enterprise enough.Fair enough, though. You can write stupid overly-abstract shit in any language, but Java does encourage it.
How many lines are in a page?
Call the function from the if block.
Now your tests can more easily call it.
I think at my last job we did argument parsing in the if block, and passed stuff into the main function.
I call main() in the if
I always use
if "__main__" == main: __main__()…and earlier in the code:
def __main__(): while True: pass main = "__main__"This helps to prevent people from arbitrarily running my code as a library or executable when I don’t went them to.

Can you elaborate on this blood magic?
It simply swaps some things around to make things more confusing, then goes into an infinite loop (whether or not you import or execute it standalone). it’s no different than just including in the global scope:
while True: passI was kinda lazy with the fuckery, tbh. I could have gotten much more confusing, but don’t have too much time today. :-)
Lol OK I was wondering how would this run
And yes you should!!
“pythonic”
I would put my code in a
def main(), so that the local names don’t escape into the module scope:if __name__ == '__main__': def main(): print('/s') main()(I didn’t see this one yet here.)
I’m a little new to Python standards. Is this better or worse than putting the
def main():outside the if statement (but callingmain()inside it)I intended this an sarcastic example; I think it’s worse than putting the main outside of the branch because of the extra indent-level. It does have an upside that the
main()doesn’t exist if you try import this as an module.I thought confusion about indent levels was the whole point of using python
But it feels like main function should not be indented
The
ifblock is still in the global scope, so writing the code in it is a great way to find yourself scratching your head with a weird bug 30 minutes later.Interesting observation. Can you give an example where this is relevant?
Its called
runpy.run_scriptOne thing I really dislike about Python is the double underscore thing, just really looks ugly to me and feels excessive. Just give me my flow control characters that aren’t whitespace
I’m at peace with balanced underscores (like “dunder name equals dunder main”) and the internal ones for snake case, but in the unbalanced ones (prefixing unders and dunders for pseudo-private) still bug me. But at least, conventionally, it’s visually the same idea as Hungarian notation.
Could someone explain this please? I’m still a noob.
Basically, when you compile a program written in Rust or C/C++ (the first and second panels respectively), the compiler needs to know what’s supposed to be executed first when the program is run directly (i.e. when you click on the executable), which in these languages, is denoted by a special function called
main(). Executable files can also contain functions and data structures that can be called by other programs, and when they are, you wouldn’t want to run an entire complex and resource intensive program if another program only needs to call a single function from it. In that case, the other program will call the function it wants but not main, so only that function executes and not the entire program.However, Python is a scripting language that’s interpreted. So every Python source file is executable provided you have the Python runtime. Python also doesn’t have native support for main functions in the same way Rust and C/C++ does, and it will execute every line of code as it reads the source file. This is why a single line Python file that just calls print is valid, it doesn’t need to be wrapped in a main function to execute. However, what if your Python file is both meant to be executed directly and provides functions that other Python files can call? If you just put the main routine in the root of the file, it would be executed every time another program tries to import the file in order to call functions from it, since the import causes the file to be interpreted and executed in its entirety. You can still just have a main function in your file, but since Python doesn’t natively support it, your main function won’t do anything if you run the file directly because as far as Python is concerned, there is no executable code at the root of the file and you haven’t called any functions.
The workaround is to have a single if statement at the root of the file that looks like this:
if __name__ == '__main__': main()It checks a special variable called
__name__. If the Python file is directly executed,__name__will have the value of the string'__main__', which satisfies the if statement so main() is called. If another Python file imports it, the value of__name__will be the name of that file, so main() isn’t called. It’s clunky and not that efficient, but, 1, it works, and 2, if you cared about efficiency, you wouldn’t be writing it in Python.thats why i name my modules main.py
Really helpful explanation, thanks.
Python has a bunch of magic variables, like
__name__. This one contains the name of the module you’re currently in (usually based on the file name), so if your file is calledfoo.py, it will have the valuefoo.But that’s only if your module is being imported by another module. If it’s executed directly (e.g.
python foo.py), it will instead have a__name__of__main__. This is often used to add a standalone CLI section to modules - e.g. the module usually only defines functions that can be imported, but when executed it runs an example of those functions.Really helpful explanation, thanks.
checks username
So it’s you they’re always talking about
It is, it’s the other Barry.
All code needs to have an entry point.
For Python and some other languages, this is the start of the file.
For other languages, this is a special function name reserved for this purpose - generally, “main”.
In the first kind of language, the thought process is basically: I have the flow of execution, starting at the top of the file. If I want to make a library, I should build the things I want to build, then get out of the way.
In the other kind of language, the thought process is basically: I am building a library. If I want to make an executable, I should create an entry point they the execution starts at.
The debate is honestly pretty dumb.
Python doesn’t need the name main check to function at all. that’s just a convenience feature that lets developers also include arbitrary entry points into modules that are part of a library and expected to be used as such. If you’re writing a script, a file with a single line in it reading
print("hello world")will work fine when run:python thescript.pyYes, because
In the first kind of language, the thought process is basically: I have the flow of execution, starting at the top of the file. If I want to make a library, I should build the things I want to build, then get out of the way.
Note the “I have the flow of execution”, and the “if I want to build a library”.
If you just want to build an executable, do as you wish, you already have the flow of execution.
If you want to build a library, make the relevant classes and functions and get out of the way (i.e., no IO, no long-running tasks).
If you want to combine them, use the main name check - or, make a package and do entry points that way. Either way works, because both can fulfill the goal of staying out of the way of those importing this as a library.
main.pyor did you not read the manual?Does everyone call the function of the script main? I never use main(), just call the function what the program is supposed to do, this program calculates the IBNR? The function is called calculate_IBNR(), then at the end of the script if name = ‘main’: calculate_IBNR(test_params) to test de script, then is imported into a tkinter script to be converter to an exe with pyinstaller
All of mine are called
do_thing()because after a few days of working on it, the scope creep always means the original name was wrong anyway.
Depends on how lazy I am at the moment.
Python people explaining fail to see the point: Yes we know dunders exist. We just want you to say: “Yeah, that is a bit hacky, isn’t it?”
aren’t most of not all conventions hacky anyways?
Is it? I really don’t think so. What can you propose that’s better? I think
if __name__ == __main__works perfectly fine and can’t really think of anything that would be better.And you don’t have to use it either if you don’t want to anyway, so no, I don’t think it’s that much of a hack. Especially when the comic compares C as an example, which makes no sense to me whatsoever.
Tbh reserving “main” is just a hacky if not more so than checking
__name__if you actually understand language design.Reserving
mainis definitely more hacky. Try compiling multiple objects withmaindefined into a single binary - it won’t go well. This can make a lot of testing libraries rather convoluted, since some want to write their ownmainwhile others want you to write it because require all kinds of macros or whatever.On the other hand,
if __name__ == "__main__"very gracefully supports having multiple entrypoints in a single module as well as derivative libraries.What is not hacky then in a language design?
Letting the developer decide what the code should do.
I don’t understand. What do you mean by deciding what the code should do in the context of language design? Can you give a concrete example? I am confused because the “main” function is required when you make an executable. Otherwise, a library will not contain any main function and we could compile it just fine no? (Shared library)
Python is an interpreted language that doesn’t need a main function explicitly. You can define any package entry points you want at the package config level. (setup.py, etc)
example: What I meant was I prefer language that treat developers like adults. If I want ptrhon’s “ux” to hide some functions or objects I can do that with underscores, but nothing is private, a developer using my library can do whatever they want with it, access whatever internals they want (at their own risk of course)
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Most contemporary python tools like flask or uvicorn do exactly this and require an explicit entry point
Yeah, this is it.
What’s hacky about an introspective language providing environment to all of the executing code, so that the coder can make the decision about what to do?
It would by hacky if Python decided “We’ll arbitrarily take functions named “main” and execute them for you, even though we already started execution at the top of the file.”
For C, this is less so. The body of the file isn’t being executed, it’s being read and compiled. Without a function to act as a starting point, it doesn’t get executed.












