Lists & loops
Iterate, transform, and combine sequences with readable loop patterns.
How to Build a Frequency Map from a List in Python
This code builds a dictionary that maps each unique element in a list to its count using the Counter class from the collections module.
from collections import Counter
def build_frequency_map(values):
"""Return a dictionary mapping each unique value to its frequency."""
return dict(Counter(values))
if __name__ == "__main__":
data = ["apple", "banana", "apple", "cherry", "banana", "apple"]
freq_map = build_frequency_map(data)
prin…
How to Build a Text Processor with Lists and Loops in Python
A beginner-friendly Python script that analyzes text by counting sentences, words, and word lengths using lists and for loops, then prints the results.
def process_text(text):
"""Simple text processor for beginners using lists and loops."""
sentences = text.replace('!', '.').replace('?', '.').split('.')
words = text.split()
word_counts = []
for sentence in sentences:
sentence_word_count = len(sentence.split())
word_counts.appe…
How to Count Occurrences of a Value in a Python List
Counts how many times a specific value appears in a list using a simple loop and a counter variable.
def count_occurrences(data, target):
count = 0
for item in data:
if item == target:
count += 1
return count
if __name__ == "__main__":
numbers = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5]
target_value = 5
result = count_occurrences(numbers, target_value)
print(f"The value {targ…
Browse by section
Each section groups closely related Python snippets.
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.