this post was submitted on 28 May 2025
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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: