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10 Python itertools Tricks I Wish I Knew Sooner! 🚀

Discover 10 powerful itertools tricks to write cleaner, faster, and more efficient Python code.

Aashish Kumar
The Pythoneers
Published in
4 min readMar 10, 2025

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Photo by Vidar Nordli-Mathisen on Unsplash

If you’ve ever worked with large datasets, nested loops, or complex iterations in Python, you’ve probably faced situations where regular loops feel too slow or clunky. This is where itertools comes to the rescue!

Python’s itertools module provides powerful functions that make working with iterators faster, memory-efficient, and more readable.

In this article, I'll share 10 essential itertools tricks that I wish I had learned earlier—saving countless hours of coding!

1. itertools.count() – Infinite Counting Made Easy

If you need an infinite counter that keeps going? count() generates numbers indefinitely.

from itertools import count

for num in count(start=1, step=2):
print(num, end=" ")
if num > 10:
break # Stop the infinite loop

# output - 1 3 5 7 9 11

Unlike range(), which requires predefined limits, count() is infinite and lazy, making it ideal for iterating over infinite sequences.

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The Pythoneers
The Pythoneers

Published in The Pythoneers

Your home for innovative tech stories about Python and its limitless possibilities. Discover, learn, and get inspired.

Aashish Kumar
Aashish Kumar

Written by Aashish Kumar

Hi, I’m Aashish Kumar, a passionate software engineer from India 🇮🇳, specialize in Python | Django | AI | LLM | Full Stack Development.

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