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The absolute carnage of those import aliases! It's like watching someone deliberately rewire your house so the light switch controls the garbage disposal. For the uninitiated, this person swapped all the standard Python data science library aliases in the most unholy way possible: tensorflow as plt , pandas as tf , numpy as pd , and matplotlib.pyplot as np . This is psychological warfare against data scientists who have muscle memory for these imports. Imagine typing np.array() and getting a plotting function instead of a NumPy array. Pure chaos. Satan himself would say "whoa, take it easy."

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A dad joke so terrible it belongs in a code review comment section. Python developers love to flex about how their language is "high-level" and abstracts away all the messy pointer arithmetic and memory management that C programmers deal with. You know, because manually managing memory is for people who enjoy pain. The punchline plays on "sea level" vs "C level" – Python floats above the low-level trenches where C developers are still fighting segmentation faults and buffer overflows. Meanwhile, Python devs are out here importing libraries to do literally everything while pretending they're superior because they don't have to compile their code. Fun fact: Python is actually implemented in C (CPython), so really it's just C wearing a fancy disguise. But don't tell Python devs that – let them have this one.

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