Category: Algorithm

Big-O notation and Time complexity in Python

Time complexity is a way to measure how the runtime of your program grows as the input size increases.
It helps you predict performance without actually running the code with huge inputs.

• Input size (n) - the number of elements your function processes (length of a list, number of nodes, etc).
• Runtime growth - how much slower your algorithm gets when n becomes very large.

Think of it as a way …