Comprehensions in Python

UpdatedMarch 2, 2026

•1 min read

Comprehensions in Python

Constantin Lungu

Senior Data Engineer • Contractor / Freelancer • GCP & AWS Certified

Part of seriesPython for Data Engineers

title: "Comprehensions in Python" seoTitle: "Python Comprehensions: List, Dict, Set, and Generator" seoDescription: "A concise guide to list, dictionary, set, and generator comprehensions in Python with practical examples. Learn when comprehensions improve code..." datePublished: Wed Dec 06 2023 22:18:07 GMT+0000 (Coordinated Universal Time) cuid: clpubyrlh000008jn7u8cdbhd slug: comprehensions-in-python cover: https://cdn.hashnode.com/res/hashnode/image/stock/unsplash/nVqNmnAWz3A/upload/810ea2a007ec5ba0b522c1d4e521bf48.jpeg tags: programming-blogs, python, data-engineering, programming-tips

Do you work with Python comprehensions in your day-to-day?

Comprehensions are a straightforward way to create lists, sets, dictionaries and generators from existing iterables - such as lists or tuples.

They allow for short, concise notation as opposed to loops. As usual, it's important to think about code readability and not overuse them.

See below a quick worksheet with examples of common comprehensions in Python, applied in a simple scenario - computing number squares.

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