The NaN Identity Crisis

numpy data science Nan pandas jupyter Floating point Attribute error Data analysis

Python Programming Debugging Math

1 year ago 270,045 views 0 shares

The NaN Identity Crisis

python-memes, numpy-memes, data-science-memes, debugging-memes, nan-memes | ProgrammerHumor.io

Ah, the classic NumPy paradox: np.nan == np.nan returns False. Because apparently even NaN doesn't want to be associated with itself. Just like that one developer who wrote this code and now refuses to acknowledge it in code reviews. The screaming title perfectly captures that moment when you spend 3 hours debugging only to discover your data analysis is failing because Not-a-Number isn't equal to... itself. It's not a bug, it's a feature – said no data scientist ever.

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1 year ago 230.3K views 0 shares

Just Because You Could Doesn't Mean You Should

Oh the beautiful abomination of mixing Python with C++ syntax! This code is the programming equivalent of putting pineapple on pizza AND dipping it in chocolate sauce. The madlad imported iostream in Python and then used C++'s cout << syntax inside a Python function. The most cursed part? It actually works! The terminal shows the output "Hello" because Python's flexible import system let this crime against nature run successfully. This is what happens when you know too many languages and decide to play god with syntax. Your code reviewer is probably having a seizure right now.