The danger of big-O notation
- indieweb: #code
- indieweb: complexity
- indieweb: performance
A common pitfall I see programmers run into is putting way too much stock into Big O notation and using it as a rough analog for overall performance. It’s important to understand what the Big O represents, and what it doesn’t, before deciding to optimize an algorithm based purely on the runtime complexity.
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