Big O Notation in Python, Explained with Real Timings
Big O notation is the language engineers use to describe how an algorithm’s cost grows as the input gets bigger, and once you can read it you stop guessing about performance and start predicting it. This post skips the heavy math and instead runs real timeit measurements so you can watch O(1), O(log n), O(n), O(n log n), and O(n squared) behave exactly the way the theory says they will. “Premature optimization is the root of all evil.” Donald Knuth, ... Read More
