Python Sets vs Lists Understanding Hash Tables and Buckets Explained! #coding #programming #viral

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Discover the inner workings of Python's sets and lists in this deep dive into data structures. Learn how sets use hash tables and buckets for lightning-fast lookups (O(1)), and compare this with the linear search of lists (O(n)). We'll also explore concepts like hash collisions, bucket assignments, and how Python efficiently manages memory. Perfect for beginners and advanced Pythonistas alike. Boost your Python skills and optimize your code today!

#Python #PythonProgramming #DataStructures #CodingTips #PythonTutorial #LearnPython #Programming #DeveloperTips #PythonSets #PythonLists #HashTables #Coding #SoftwareEngineering #Optimization
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KevinScott-he
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So you have answered the question of which operation is asymptotically faster, but not which one is actually faster.

Simple test case: x = [1, 2, 3, 4]; y = {1, 2, 3, 4}. Testing for "1 in x" is actually faster than testing for "1 in y", but for any later item (or a non-existant one), the set is faster.

joergsonnenberger
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This is bullshit. Nobody needs only lookup time. It totally depends on the scenario which one is better for that case.
Stop this nonsense video making.

asteroidX
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