Big O notation of your average app
Even though you probably spent 5 years studying Computer Science and extensively using asymptotic notation, the truth is in the mobile development world there is a common myth about running time and space requirements being useless.
Modern devices are way more powerful for users to notice a difference between bubble sort and merge sort. Or not? Should everyone know how to implement Ukkonen's algorithm if they develop a weather app? What's the "Big O" of your average app and how to determine it?
I have answers to these questions and by the end of the talk you will have them too.
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