Python is great for ML

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.

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The stark reality of Python dependency hell vs. actual source code! On the left, the .venv directory contains enough documentation to crush a desk (and your hard drive), while the ./src folder on the right is literally small enough to fit between two fingers. Nothing says "modern development" quite like downloading 500MB of packages to print "Hello World" with extra formatting. The best part? You'll spend 3 hours debugging a cryptic error only to discover it's from a nested dependency 7 layers deep that you never explicitly imported. Efficiency at its finest!

Behold the majestic triangle of nested conditionals—where each layer takes you one get_step() deeper into madness! This magnificent code sculpture starts with a simple function call and then descends through increasingly absurd levels of nesting, creating that beautiful triangular indentation pattern. It's like the developer thought: "Why write a loop when you can create a fractal of if statements?" The real genius is how each return statement has precisely the right number of get_step() calls to match its indentation level. Pure algorithmic poetry—or a cry for help from someone who discovered code folding and decided to test its limits. The "Wedge of Destiny" indeed—because your destiny is to maintain this masterpiece during the 3 AM production outage when you've run out of coffee.

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