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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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Python gets to be faster, easier, multithreaded, and useful beyond data science. R gets slower, weird syntax, single-threaded, and exists solely to make statisticians feel special. The "essentially only used for data science" part is doing some heavy lifting here. Like, congratulations R, you've cornered the market on being the one-trick pony that academia refuses to let go of. Meanwhile Python is out here running web servers, automating infrastructure, and training neural networks while R is still trying to figure out why <- seemed like a good assignment operator. Sure, R has ggplot2. Python has everything else.

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