My College Professors Be Like...

Ah, the classic Fibonacci trap! What the engineer doesn't realize is that calculating the 80th Fibonacci number is actually a computational nightmare with naive recursion. The time complexity is O(2^n) - meaning your algorithm basically doubles its work with each step. While the dad thinks he's asking a simple question, he's actually posing a problem that would make even a decent computer cry. Without memoization or dynamic programming, that poor engineer's PC would probably burst into flames before reaching F(80)! And that, kids, is why you always optimize your algorithms before meeting your girlfriend's father.

The book titled "Math Isn't Important For Programming And Other Hilarious Jokes You Can Tell Yourself" is the ultimate self-deception manual for aspiring coders. Right next to classics like "I'll document my code later" and "This regex is perfectly maintainable," we have this mathematical fallacy. Meanwhile, your algorithm complexity is O(n²), your physics engine is glitching, and your machine learning model is basically a random number generator. The best part? It's Volume II—meaning someone bought enough copies of Volume I to warrant a sequel. Probably the same person who thinks sorting algorithms are "just theory stuff."

THE AUDACITY of young me declaring "I don't need math, I'll just make video games!" only to later discover that game development is LITERALLY a mathematical hellscape! 😭 Fast forward to the soul-crushing reality where Unity, OpenGL, C++, and every other game dev tool are CACKLING at your mathematical ignorance. They're all just sitting there like "Oh honey, you thought you could escape VECTORS and MATRICES? That's adorable!" Game physics? MATH. Graphics rendering? MATH. Character movement? MATH. It's math all the way down, you poor, delusional child!

Why spend hours implementing a Least Recently Used cache algorithm when someone else already did the hard work? Modern problems require modern solutions - specifically, the import statement. The face says it all: "You want me to reinvent the wheel? In this economy?" Nothing captures the essence of professional development quite like knowing when to code and when to leverage existing libraries. Work smarter, not harder... unless it's an interview, then pretend you'd totally write it from scratch at work.

Ah yes, nothing says "efficient solution" like using a machete labeled "Deep learning" to slice through a tiny piece of bread labeled "Simple problem." The classic case of computational overkill. Why use a simple if-statement when you could train a 500-layer neural network that requires a small power plant to run? Next week: using quantum computing to calculate a 15% tip.

Back in the 60s, programmers were literally PUNCHING CODE into cards by hand! 🤯 The person in the image is holding up punch cards with the caption "COMPILERS TOOK MY JOB" - it's basically the original "robots are stealing our jobs" but for coding! Before compilers existed, humans had to manually convert code into machine-readable formats. Then BAM! Compilers showed up and were like "I got this" and an entire profession vanished faster than free pizza at a hackathon! Those punch card operators never saw it coming!