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Comprehensions & generators

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

3 matches
Comprehensions & generators easy

Count Data in Python with Comprehensions and Generators

Count list items with a dict comprehension and generate squares lazily with a generator expression, printing both results.

comprehensions generators counter
Python
from collections import Counter

data = ["apple", "banana", "apple", "cherry", "banana", "apple"]

counts = {item: data.count(item) for item in set(data)}

square_gen = (x * x for x in range(5))
squares = list(square_gen)

if __name__ == "__main__":
    print("Manual count:", counts)
    print("Counter:", dict(Counter…
15 0 Open
Comprehensions & generators easy

Dict Comprehension to Map Keys to Lengths in Python

Build a dictionary that maps each word to its character count using a dictionary comprehension.

dictionary comprehension len
Python
words = ["apple", "banana", "cherry", "date", "elderberry"]

word_lengths = {word: len(word) for word in words}

print(word_lengths)
14 0 Open
Comprehensions & generators easy

Generator Function to Yield an Infinite Counter in Python

This code demonstrates a generator function that yields an infinite sequence of integers starting from a given value, allowing lazy, memory-efficient iteration.

generators infinite sequences yield
Python
def infinite_counter(start=0):
    count = start
    while True:
        yield count
        count += 1

if __name__ == "__main__":
    counter = infinite_counter(5)
    for _ in range(5):
        print(next(counter))
14 0 Open

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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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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.