Courses / Data Structures and Algorithms
12. Big O Notation
Understanding the concept of Big O notation for analyzing algorithm efficiency.
1 min read Chapter 12 of 23
Python
Big O Notation
Big O notation is a way to describe how the runtime of an algorithm grows as the size of the input increases.
"I want to know if my code will still run quickly when I handle a million records instead of just ten."
Big O notation provides a high-level understanding of an algorithm's efficiency by expressing its time complexity in relation to the input size.
"I want to know if my code will still run quickly when I handle a million records instead of just ten."
Big O notation provides a high-level understanding of an algorithm's efficiency by expressing its time complexity in relation to the input size.