This page documents the time-complexity (aka "Big O" or "Big Oh") of various operations in current CPython. Other Python implementations (or older or still-under development versions of CPython) …

Jul 23, 2025 · In this article, we will explore the key factors that make sets faster than lists in Python, focusing on time complexity, data structures. One of the most important performance factors in …

While GWW's link is very informative, you can reason about the time complexity of python's sets by understanding that they are simply special cases of python's dictionary (keys, but no values). So, if …

Apr 16, 2024 · Let's look at the time complexity of different Python data structures and algorithms. This article is primarily meant to act as a Python time complexity cheat sheet for those who already …

Python’s set is a hash-based collection optimized for fast membership tests and set operations. This cheat sheet provides the average and worst-case time complexities for common set operations, …

Nov 6, 2024 · Explore the time complexity of Python set operations using Big O notation, including practical examples and alternative methods.

Feb 19, 2024 · Adding elements to a set is a fast operation in Python. The time complexity of adding a single element to a set is O (1) on average. This means that regardless of the size of the set, the …

Jul 12, 2025 · This cheat sheet is designed to help developers understand the average and worst-case complexities of common operations for these data structures that help them write optimized and …

Jan 25, 2025 · Understanding the time complexity of operations is essential for writing scalable applications. Python’s built-in data structures like lists, dictionaries, sets, and tuples are powerful but …

Mar 2, 2023 · CPython doesn't resize sets on remove. It can resize on add, but as of the current CPython 3.11.2 implementation, set.add only resizes when an added element lands in a never …