What is Big O Notation?
A mathematical way to describe how the performance of an algorithm changes as the input size grows.
Why It Matters
Big O helps you choose algorithms that will perform well at scale, not just with small test data.
Real-World Example
An O(n) search checks each item once, while an O(n squared) approach checks every pair, getting much slower with large datasets.
“Understanding terms like Big O Notation matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
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Related Terms
Scalability
Your application's ability to handle growth in users, data, or traffic
Algorithm
A step-by-step set of instructions for solving a specific problem or performing a computation.
Full-stack
Working on both the frontend (what users see) and backend (the server and database) of an application
TypeScript
JavaScript with added type checking that catches errors before your code runs
JavaScript
The programming language that makes websites interactive and dynamic
Environment Variables
Secret settings stored outside your code, like passwords and API keys