Lists & loops
Iterate, transform, and combine sequences with readable loop patterns.
Generate Data Helper for Beginners in Python
Define two functions that create a random list of integers and then compute basic summary statistics like count, total, average, maximum, and minimum using simple loops.
from random import randint
def build_dataset(size: int, max_val: int) -> list[int]:
data = []
for _ in range(size):
data.append(randint(1, max_val))
return data
def summarize(data: list[int]) -> dict[str, float]:
total = 0
maximum = data[0]
minimum = data[0]
for value in data:
…How to Loop Through Lists in Python for Beginners
Transform, filter, sum, and find the maximum in a Python list using basic for loops and conditionals.
def transform_data(numbers):
"""Basic transformation examples using lists and loops."""
doubled = []
for n in numbers:
doubled.append(n * 2)
return doubled
def filter_even(numbers):
"""Keep only even numbers using a loop and condition."""
evens = []
for n in numbers:
if n …Browse by section
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Lists & loops — Python code examples
What you will find here
This page collects lists & loops 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.
Samples vs tutorials and challenges
Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.