Nearby lessons
121 of 159Python - itertools Module
📌 What You Will Learn
- Explain why itertools works well with iterators
- Chain and repeat values with iterator helpers
- Group consecutive values with groupby()
- Generate combinations and permutations
- Use zip_longest() for unequal iterables
Iterator building blocks
itertools contains composable tools that operate lazily. This helps process large or infinite streams without building unnecessary intermediate lists.
chain()
count() and repeat()
count() produces an arithmetic progression and repeat() produces the same value repeatedly. Use islice() or a loop condition to bound consumption.
combinations() and permutations()
groupby()
groupby() groups consecutive items by a key. Sort data first when equal keys are not already adjacent.
zip_longest()
islice()
islice(iterable, start, stop, step) selects a bounded portion of an iterator without requiring random access.
Lazy evaluation and memory
Most itertools results are consumed once. Convert to list() only when you need all values stored at once, and be cautious with infinite iterators such as count().
📝 Key Takeaways
- itertools functions generally return lazy iterators
- chain() joins iterables without copying them first
- combinations() and permutations() generate arrangement choices
- groupby() groups consecutive equal keys
- islice() and zip_longest() solve common iterator tasks
🧠 Test Your Knowledge
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