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Boost your Python skills with itertools magic!
10 Python itertools Tricks I Wish I Knew Sooner! 🚀
Discover 10 powerful itertools tricks to write cleaner, faster, and more efficient Python code.

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.