computer science Memes

This Absolute Gem In The Mens Toilet Today At Uni

8 hours ago 99.7K views 0 shares

Someone taped a visual guide to urinal etiquette in a CS building bathroom and labeled it "Pigeon Hole Principle." Four urinals, three guys wearing brown shirts, one brave soul in blue who clearly drew the short straw. The Pigeonhole Principle states that if you have n items and m containers where n > m , at least one container must hold more than one item. Applied here: four urinals, but urinal etiquette demands you leave gaps, so really you've only got two usable spots. Guy in blue? He's the overflow. The mathematical proof that bathroom awkwardness is inevitable. Whoever printed this out and stuck it on the wall understands both discrete mathematics and the unspoken social contract of public restrooms. Respect.

Might As Well Try

Debugging Hardware Programming StackOverflow

15 hours ago 101.9K views 0 shares

Computer Science: where nothing else has made the code work, so you might as well try licking it. Honestly, this tracks. After exhausting Stack Overflow, rewriting the entire function, sacrificing a rubber duck, and questioning your career choices, the scientific method becomes "whatever, let's just see what happens." Computer Engineering gets the "tingle of electricity on your tongue" test, which is disturbingly accurate for hardware debugging. The rest of the sciences have actual safety protocols, but CS? Just try random stuff until the compiler stops screaming at you. It's not debugging, it's percussive maintenance for your sanity. The real kicker is that this method works more often than it should. Changed a variable name? Fixed. Deleted a comment? Suddenly compiles. Added a random semicolon? Production ready. Science.

Gb Vs GiB

Hardware Math Programming

2 days ago 123.1K views 0 shares

Marketing teams out here selling you a "1TB" hard drive like they're doing you a favor, meanwhile your computer opens it and goes "lol bestie that's actually 931 GiB." The betrayal is REAL. Decimal (GB) vs binary (GiB) units is the tech industry's longest running scam and nobody talks about it enough! For context: GB uses base-10 (1000), while GiB uses base-2 (1024). So 1 GB = 1,000,000,000 bytes, but 1 GiB = 1,073,741,824 bytes. Hard drive manufacturers love using GB because bigger numbers = better sales, but your OS speaks fluent GiB. It's like ordering a footlong sub and getting 11.5 inches. Technically legal, morally questionable. The top panel showing 1000, 500, 250 is GB trying to flex with its clean decimal system, while the bottom panel's 256, 512, 1024 is GiB sitting there in its fancy binary powers looking absolutely SUPERIOR. The computer nerds know what's up. 🎩

Time Complexity 101

Algorithms Math Programming

3 days ago 133.2K views 0 shares

O(n log n) is strutting around like it owns the place—buff doge, confident, the algorithm everyone wants on their team. Meanwhile O(n²) is just... there. Weak, pathetic, ashamed of its nested loops. The truth? O(n log n) is peak performance for comparison-based sorting. Merge sort, quicksort (on average), heapsort—they're all flexing that sweet logarithmic divide-and-conquer magic. But O(n²)? That's your bubble sort at 3 AM because you forgot to optimize and the dataset just grew to 10,000 items. Good luck with that. Every junior dev writes O(n²) code at some point. Nested loops feel so natural until your API times out and you're frantically Googling "why is my code slow." Then you learn about Big O, refactor with a HashMap, and suddenly you're the buff doge too.

True But Weird 😭

Math Algorithms Programming

3 days ago 161.1K views 0 shares

When you spot the obvious pattern (powers of 2) and write the elegant solution, but your professor apparently spent their weekend deriving a polynomial formula that looks like it escaped from a cryptography textbook. Both answers are technically correct. One takes 2 seconds to write. The other requires factoring a quartic polynomial and probably a sacrifice to the math gods. Your professor chose violence. The real kicker? They're both valid closed forms. It's like showing up to a potluck with a sandwich while someone else brought a seven-layer molecular gastronomy deconstructed sandwich experience.

The Only Book That Makes Programmers Cry

Java Algorithms Programming Debugging

6 days ago 187.7K views 0 shares

The Only Book That Makes Programmers Cry

HONEY, PLEASE! You think your romance novel made you sob? Try flipping through a Data Structures and Algorithms book at 3 AM while your deadline looms like the grim reaper! Nothing—and I mean NOTHING—will reduce you to a puddle of tears faster than trying to implement a balanced Red-Black tree while surviving on nothing but energy drinks and shattered dreams! The emotional damage is simply ASTRONOMICAL! 💀

Make Them A Priority (Heap)

Programming Csharp C++ Java Debugging

8 days ago 211.4K views 0 shares

The eternal battle between garbage collection and memory management summed up in one Futurama scene. Amy's sick of cleaning up dead memory while Professor Farnsworth reminds us that without those heaps, we'd have nowhere to store our questionable code decisions. Just another day where the laws of computer science trump workplace cleanliness. Next time your app crashes with an out-of-memory error, remember - those heaps weren't just clutter, they were load-bearing trash.

How Could You Tell

Programming Debugging

8 days ago 84.9K views 0 shares

The hunched back of Notre-Coder. That spine didn't curve itself—it took years of dedication to terrible posture, late-night debugging sessions, and staring at Stack Overflow answers that somehow make the problem worse. When your vertebrae start resembling a question mark, you don't need to announce your CS degree. Your body's already screaming "I've optimized everything except my ergonomics."

The Epic Handshake Of Iteration

Programming C++ Algorithms Javascript Python

9 days ago 214.5K views 0 shares

The sacred handshake of iteration! While philosophers have been pondering "what is the meaning of i?" for centuries, programmers just throw it in a for loop and call it a day. Both groups spend hours staring into the void, but one gets paid to do it. The beautiful irony? Neither fully understands what they're doing - philosophers by design, programmers by deadline.

Integer Underflow: The Academic Cheat Code

Programming Algorithms Math Debugging

9 days ago 176.5K views 0 shares

Integer Underflow: The Academic Cheat Code

Integer underflow is what happens when a number gets so small it wraps around to its maximum value. Like when you're so bad at something, you accidentally become a genius. This is basically the programmer version of failing so spectacularly that you circle back to success. Flunk kindergarten? No problem! Your education counter just rolled over from 0 to 4,294,967,295, and suddenly you've got more degrees than a thermometer factory. Next time your code crashes, just tell your boss it's not a bug—you're just taking the scenic route to success.

Easy Way To Remember The OSI Model

Networking Programming

9 days ago 144.0K views 1 shares

Finally, a networking model I can actually remember. The OSI model has tormented network engineers for decades, but stack some cats in plastic bins and suddenly it's crystal clear. From the bottom layer handling the physical cables (where the grumpiest cat clearly lives) all the way up to the application layer where users click buttons and complain that "the internet is broken." Network troubleshooting would be 73% more efficient if we just asked "which cat basket is the problem in?" instead of "which OSI layer is failing?"

When You Start Using Data Structures Other Than Arrays

Algorithms Programming Debugging

10 days ago 126.5K views 0 shares

When You Start Using Data Structures Other Than Arrays

That moment when you've been forcing everything into arrays for years and suddenly discover linked lists, trees, and hash maps. The sheer existential horror of realizing how much unnecessary O(n) searching you've been doing. Your entire coding career flashes before your eyes as you contemplate all those nested for-loops that could have been O(1) lookups.

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