The language of silicon dreams and stack overflows.
The stuff that comes out after you put stuff in, whether it's data from a computer, production from a factory, or results from any process. In tech, it's what your program spits out after processing input—assuming it doesn't crash first. Managers obsess over maximizing output while minimizing input, which is just a fancy way of saying 'do more with less.'
A mathematical structure made of nodes (dots) connected by edges (lines), like a subway map for abstract relationships—or the technology behind how Facebook knows you're connected to your high school ex's cousin's dog. In data structures, it's the Swiss Army knife for representing networks, from social connections to recommendation algorithms. Not to be confused with the other kind of graph with axes, though both will give you a headache if you stare at them too long.
A one-way mathematical function that turns any input into a fixed-length jumble of characters, like a paper shredder for data that can never be un-shredded. Used everywhere from password storage to blockchain, it's the cryptographic equivalent of making a smoothie—you can't get the strawberries back out once they're blended. Also, conveniently, the # symbol, causing endless confusion in technical discussions about whether you mean the symbol or the algorithm.
An organized collection of information stored electronically, like a digital filing cabinet that actually knows where everything is (unlike your physical one). The backbone of virtually every modern application, it's where companies store everything from your embarrassing purchase history to critical business data. Essentially a very organized hoarder that can retrieve anything you need in milliseconds, assuming you ask nicely in SQL.
A fancy way of saying "mixed bag" in technical contexts, describing systems or datasets composed of different types of elements that refuse to conform to a single standard. Whether it's a computing cluster with different hardware or a dataset with multiple data types, heterogeneous is what happens when uniformity takes a vacation. The opposite of homogeneous, and significantly harder to pronounce after three beers.
The tech world's equivalent of making imaginary friends real—creating software-based versions of physical hardware that exist only in the digital realm but work just as well (sometimes better). It's how one beefy server pretends to be twenty different computers, each blissfully unaware of its simulated existence. Basically, it's The Matrix for IT infrastructure, and yes, the red pill is more expensive.
That hyper-enthusiastic state of being absurdly excited about a new Android app, possibly enhanced by stimulants that make everything seem revolutionary. It's happiness cranked up to eleven specifically because you discovered an app that color-codes your to-do list. The word itself is trying way too hard, which is very on-brand.
When your internet provider decides you've used enough bandwidth and quietly slows your connection to dial-up speeds, or when engineers intentionally limit system performance to prevent meltdown. Originally about choking someone or restricting airflow to an engine, now it's mostly about artificial performance limits. It's speed control, whether for engines, networks, or overly ambitious users.
Math-speak for 'normal' or 'bell-curved,' named after Carl Friedrich Gauss, who apparently had better things to do than make terminology accessible. When data scientists say something follows a Gaussian distribution, they mean it clusters around the average in that classic bell-curve shape you remember from statistics class nightmares. It's the mathematical way of saying 'most things are pretty average, with a few outliers.'
Short for demonstration, it's the preview version of literally anything before the final product exists—whether that's software, music, or a new blender at Costco. In tech, demos are carefully choreographed performances where everything works perfectly (unlike in production); in music, they're rough recordings that somehow capture more magic than the overproduced album version. The art of showing just enough to get someone interested without revealing all the broken bits.
A compression method that preserves every single bit of original data, like photocopying without any degradation, which sounds great until you see the file sizes. This format ensures perfect quality by refusing to throw away any information, making audiophiles and photographers very happy and storage administrators very sad. The digital equivalent of refusing to edit your manuscript because every word is precious.
Corporate speak for "what this thing actually does" when stripped of marketing fluff and aspirational promises. In product development, it's the features that work versus the ones listed on the box; in trademark law, it's the legal concept that saves actually useful designs from being monopolized. The more someone emphasizes "rich functionality," the more likely you're getting a bloated mess of half-working features nobody asked for.
The computational equivalent of diagramming sentences, where programs break down input into digestible chunks to understand its structure. This process involves analyzing syntax, identifying components, and determining relationships—basically teaching computers to read like very literal English teachers. When it fails, you get error messages that make less sense than the original problem.
Tiny programs that run inside larger applications, like parasites but more useful and less creepy. These mini-applications peaked in the Java era when they made websites "interactive" by loading slowly and crashing browsers. Now mostly extinct in web contexts, they're a nostalgic reminder of when "downloading a plugin" was considered cutting-edge technology.
The software design philosophy that your code should gracefully accommodate future features you haven't thought of yet, like building a house with extra electrical outlets for gadgets that don't exist. Good extensibility means developers can add new functionality without rewriting the entire codebase or breaking existing features. It's the difference between 'we can add that feature in a week' and 'we need to rebuild everything from scratch.'
Derogatory term in hacker/cracker communities for websites where script kiddies congregate to leak and share exploits, making methods useless within seconds. Think of it as the Costco sample table of cyber exploits—everything gets consumed instantly and nothing stays exclusive.
A sealed vessel where organic materials are broken down by bacteria in the absence of oxygen, producing biogas and making waste management sound like a science experiment. These industrial-strength stomachs process everything from sewage to agricultural waste, turning what would be landfill fodder into renewable energy. It's basically composting on steroids with a chemistry degree.
The process of replacing something with a newer, theoretically better version—emphasis on "theoretically" because upgrades have a 50/50 chance of improving things or breaking everything. It's when you install the latest version of software hoping for new features but secretly dreading the bugs that come with them. The IT equivalent of "if it ain't broke, we'll fix that."
The art of instructing computers to do your bidding through carefully crafted code, which they will interpret exactly as written rather than as intended. It's equal parts problem-solving, debugging your own mistakes, and Googling "why doesn't this work" at 2 AM. The profession where you spend 10% of your time writing code and 90% figuring out why that code hates you.
The tech world's way of saying "set something up for the first time," whether that's assigning a starting value to a variable or formatting a hard drive. It's the digital equivalent of clearing the slate and establishing ground zero before things get complicated. Essentially, it's the computer science ritual of beginning with a clean, defined state before chaos ensues.
A computer program that reads code or data and breaks it down into digestible chunks, like a literary critic but for syntax instead of symbolism. This is the software component that figures out whether your HTML is valid or your JSON is junk, translating human-readable (or human-attempted) code into something a computer can actually understand. Every time a compiler yells at you about a missing semicolon, thank your parser for catching it.
A background process that runs continuously on Unix-like systems, handling tasks without any user interaction—like a helpful ghost in your machine. Despite the demonic name, it's usually benign, managing things like printing, networking, or scheduled tasks while you're blissfully unaware. When something goes wrong with a daemon, you'll spend hours hunting through log files to exorcise it.
The art of making documents look pretty or preparing storage devices for their inevitable filling with cat photos. In tech, it's either arranging text and images into a pleasing layout, or the digital equivalent of wiping a hard drive clean before handing it to someone else—because you definitely don't want them finding your embarrassing file naming conventions.
A photographer obsessed with achieving that dreamy, blurred background effect (bokeh) in every single shot, typically shooting wide open at f/1.4 regardless of whether the subject actually benefits from it. They'll sacrifice sharpness, depth of field, and common sense just to get those creamy out-of-focus circles in the background. Their Instagram is 90% shallow depth-of-field portraits.