Reference library

Comprehensions & generators

List/dict/set comprehensions, generator expressions, and lazy iteration.

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Comprehensions & generators easy

Normalize Data in Python with Comprehensions and Generators

Clean a list by dropping None values with a comprehension, then min-max normalize it using a lazy generator expression — a beginner-friendly data preparation pattern.

comprehensions generators normalization
Python 
import statistics

# Sample raw data including missing and outlier-ish values
raw = [22, 18, None, 25, 30, 19, 22, 17, None, 28, 24]

# Clean the data: drop None values using a list comprehension
clean = [x for x in raw if x is not None]

# Normalize using min-max scaling with a generator expression
min_val = min(clea…
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Comprehensions & generators — Python code examples

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This page collects comprehensions & generators snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

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