Yeah, and also zero dependency management, so you are free to figure out what combination of Python, Tensorflow and Keras will make it not throw random exceptions.
And don’t forget the number one rule: you must use all the graphing libraries, all the time.
python isn’t the only language to do “execute everything imported from a particular file and all top level statements get run”. both node and c# (but with restrictions on where top level statements can be) can do that type of thing, I’m sure there’s more.
python conventions are unique because they attempt to make their entrypoint also importable itself without side effects. almost no one needs to do that, and I imagine the convention leaked out from the few people that did since it doesn’t hurt either.
for instance in node this is the equivalent, even though I’ve never seen someone try before:
if (path.resolve(url.fileURLToPath(import.meta.url)).includes(path.resolve(process.argv[1])))
{
// main things
}
I definitely do for quick scripts, but I try to break this habit. The biggest advantage of defmain() is that variables are local and not accessible to other functions defined in the same script, which can sometimes help catch bugs or typos.
If the file is just a class I usually put example usage with some default arguments in that block by itself. There is no reason for a “main” function. It’s a nice obvious block that doesn’t run when someone imports the class but if they’re looking at the class there is a really obvious place to see the class usage. No confusion about what “main()” is meant to do.
if __name__ == '__main__':
# MyClass example Usage
my_object = MyClass()
my_object.my_method()
What kind of psychopath would put the code in the if block.
Looks at all the Python scripts in my bin folder that I wrote.
Never heard of
def main(): pass if __name__ == '__main__': main()?
Heard of it, was too lazy to do it that way.
To be fair I now do it that way, but not when I was learning Python.
What is the point of this?
Not having tons of code in one if statement, but in a function.
And scope. Variables declared in the if can be read everywhere, variables declared in the function are limited to that function.
I thought you were saying to literally use
def main(): pass, that’s why I was confusedOh, no, that’s just the usual placeholder. Though, … would also be valid iirc, and would fit better as a “TODO” placeholder
custom bin folders are a realm no God dares to tread
I can and I do
*trollface*
I work in an academic / research environment. Depending who wrote it, even seeing a
__name__ == "__main__"is a bit of a rare thing…Academic code is absolutely horrific.
Fortunately, it is possible to translate it for practical applications.
As someone in academia who writes code, I can confirm.
Do you also have nothing but love for those 50+ cell Jupyter notebooks that don’t use a single function and have everything in the global scope?
the best thing is when not even the author knows the correct order of running the cells; because of course it isn’t top-to-bottom.
Yeah, and also zero dependency management, so you are free to figure out what combination of Python, Tensorflow and Keras will make it not throw random exceptions.
And don’t forget the number one rule: you must use all the graphing libraries, all the time.
python isn’t the only language to do “execute everything imported from a particular file and all top level statements get run”. both node and c# (but with restrictions on where top level statements can be) can do that type of thing, I’m sure there’s more.
python conventions are unique because they attempt to make their entrypoint also importable itself without side effects. almost no one needs to do that, and I imagine the convention leaked out from the few people that did since it doesn’t hurt either.
for instance in node this is the equivalent, even though I’ve never seen someone try before:
if (path.resolve(url.fileURLToPath(import.meta.url)).includes(path.resolve(process.argv[1]))) { // main things }Why would you waste a function call on something so completely redundant?
~For real though, arg parsing goes in the if, then gets dispatched to whatever function call is needed to run the proper script.~
I definitely do for quick scripts, but I try to break this habit. The biggest advantage of
def main()is that variables are local and not accessible to other functions defined in the same script, which can sometimes help catch bugs or typos.If the file is just a class I usually put example usage with some default arguments in that block by itself. There is no reason for a “main” function. It’s a nice obvious block that doesn’t run when someone imports the class but if they’re looking at the class there is a really obvious place to see the class usage. No confusion about what “main()” is meant to do.
if __name__ == '__main__': # MyClass example Usage my_object = MyClass() my_object.my_method()you can, no one stopping you