Day 32: What is Amortized O(1) in Python List Appending? 🔥

Описание: When you append to a Python list, most operations are super fast O(1).
But sometimes, Python has to resize the dynamic array and copy all elements — that takes O(n).
So why do we still call append() amortized O(1)?
Because these expensive operations happen rarely, and when averaged over many appends,
the overall cost per append is still O(1).
This is the idea of amortized analysis in dynamic arrays.🔥





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