Every function in itertools returns a lazy iterator rather than a materialized list, so they compose well and stay memory-efficient even over huge or infinite sequences. itertools.chain(a, b, c) iterates over several iterables back-to-back as if they were one, without copying them together into a new list first. itertools.combinations(items, r) and itertools.permutations(items, r) generate every possible grouping or ordering of a given size. itertools.count() and itertools.cycle() produce infinite sequences, a counting sequence and a repeating loop over a given collection respectively, meant to be paired with something like itertools.islice() or a break condition to avoid iterating forever.
1Understanding itertools Module
Every function in itertools returns a lazy iterator rather than a materialized list, so they compose well and stay memory-efficient even over huge or infinite sequences. itertools.chain(a, b, c) iterates over several iterables back-to-back as if they were one, without copying them together into a new list first. itertools.combinations(items, r) and itertools.permutations(items, r) generate every possible grouping or ordering of a given size. itertools.count() and itertools.cycle() produce infinite sequences, a counting sequence and a repeating loop over a given collection respectively, meant to be paired with something like itertools.islice() or a break condition to avoid iterating forever.
Use itertools.chain() instead of concatenating lists with + when combining several iterables just to loop over them once — chain() avoids building an intermediate combined list in memory.
import itertools
for pair in itertools.combinations(["A", "B", "C"], 2):
print(pair)2Practical Example
Here is a real-world application of itertools Module showing how it is used in production Python code.
import itertools
list1 = [1, 2, 3]
list2 = [4, 5, 6]
combined = list(itertools.chain(list1, list2))
print(combined)3Best Practices
Follow these guidelines when working with itertools Module:
1. Use itertools.chain() to iterate over multiple sequences as one, instead of concatenating them into a new list first
2. Use itertools.combinations()/permutations() instead of writing nested loops by hand to generate groupings or orderings
3. Pair infinite generators like itertools.count()/cycle() with itertools.islice() or an explicit break, since they never stop on their own
Tip: Use itertools.chain() instead of concatenating lists with + when combining several iterables just to loop over them once — chain() avoids building an intermediate combined list in memory.
import itertools
for pair in itertools.combinations(["A", "B", "C"], 2):
print(pair)