Optimizing your Python code often involves reducing time complexity. Simple changes like replacing nested loops with dictionary lookups can turn an O(n^2) operation into O(n).

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Remembering complexity of each built-in function of Python is difficult for me and I am sure it will be difficult for you too. This is a collection of runtime and space complexity that I have ...

In Python, where ease of use often trumps raw performance, understanding time complexity can guide you in choosing the right data structures and algorithms that scale well.