Underwater JavaScript: Where Your Tears Blend In

The guy playing ping pong with a door handle instead of a paddle is basically all of us diving into a new programming language without bothering to read the docs first. Sure, you could spend three hours reading proper syntax and best practices, or you could just start hacking away and Google error messages as they appear. Who has time for documentation when there's a deadline tomorrow and Stack Overflow exists? Ten years in the industry and I still find myself doing this. The cycle never ends - new framework drops, copy-paste some examples, break everything, fix it somehow, and suddenly you're an "expert" giving talks about it.

Content JS Space used JavaScript in Dragon Flight - codedamn 29K views 1 week ago

First frame: "Don't shoot! I am JS Developer" with hands up desperately trying to save himself. Second frame: "Explain promises" Third frame: "Shoot" The eternal struggle of JavaScript developers when cornered about explaining async concepts. Sure, they can write promises all day long, but ask them to actually explain how the hell that callback-escaping magic works under the hood, and suddenly taking a bullet seems like the easier option. The callback hell they were trying to escape just became an interrogation hell instead.

The eternal divide between programmers and mathematicians in one perfect meme. In programming, "2!=2" is checking if 2 is not equal to 2 (which is false, so "No"). But in math, "2!" means factorial of 2, which equals 2, making the statement true ("Yes"). This is why programmers should never date mathematicians. Dinner conversations would be a nightmare. "Hey, could you pass the salt?" "No, because that's syntactically ambiguous and I'm interpreting it as a boolean expression."

Content Bae: Come over Dijkstra: But there are so many routes to take and I don't know which one's the fastest Bae: My parents aren't home Dijkstra: Dijkstra's algorithm Graph search algorithm Not to be confused with Dykstra's projection algorithm. Dijkstra's algorithm is an algorithm for finding the shortest paths between nodes in a graph, which may represent, for example, road networks. It was conceived by computer scientist Edger W. Dijkstra in 1956 and published three years later. (12) The algorithm exists in many variants; Dijkstra's original variant found the shortest path between two nodes, but a more common variant fixes a single node as the "source node and finds shortest paths from the source to all other nodes in the graph, producing a shortest-path tree. Dijkstra's algorithm Out

The evolution of a programmer's hairline perfectly correlates with their tech stack choices. Start in UI/UX with a full head of hair and optimistic dreams. By the time you're doing Frontend, you've seen enough CSS bugs to lose a bit. Full Stack JS and Mobile devs? That's when the real receding begins. C#/Java programmers have accepted their fate along with their verbose syntax. DBAs are too busy optimizing queries to notice their optimization problems up top. But DevOps/SysAdmin? Those 3AM production failures have claimed most of the hair. And if you've reached Embedded programming, congratulations! You've traded your hairline for the ability to make a microcontroller blink with only 12 bytes of memory.