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).

Spread the loveIntroduction: Time complexity is a concept in computer science that measures the efficiency of an algorithm based on the number of operations it performs relative to its input size.

You'll find code examples, explanations, and visualizations that illustrate key concepts like constant, logarithmic, linear, linearithmic, quadratic, and exponential time complexities. Python Scripts: ...

This is a collection of runtime and space complexity that I have calculated by observing the latest source code of CPython. You can use this as a cheat sheet. Complexities mentioned here are in Big O ...