Python Tutorial 0/52 lessons ~6 min read Lesson 37
Iterators & itertools
Any object with __iter__ + __next__ is an iterator.
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Focus
8 guided sections
Practice signal
Examples included
Career prep
Foundation builder
Introduction
Any object with __iter__ + __next__ is an iterator. itertools provides production-ready building blocks: chain, islice, groupby, product.
Understanding the topic
Core concepts to understand:
- Iterator:
__iter__+__next__. - Generators are iterators.
itertoolsis the Swiss-army knife.StopIterationends iteration.
Syntax reference
Visual flow / code:
python
import itertools as it# Infinite + take first Nlist(it.islice(it.count(1), 5)) # [1,2,3,4,5]# Chain iterableslist(it.chain([1,2], [3,4])) # [1,2,3,4]# Group consecutive by keydata = [("a",1), ("a",2), ("b",3)]for k, group in it.groupby(data, key=lambda x: x[0]):print(k, list(group))# Cartesian productlist(it.product([1,2], ["a","b"])) # [(1,'a'),(1,'b'),(2,'a'),(2,'b')]
Execution workflow
1Iterators & itertools Workflow
1 / 4Step 1
Iterator: __iter__ + __next__.
Apply this step while implementing iterators & itertools in real code.
Real-world use
itertools is one of the most underused gems of the stdlib — replaces dozens of lines of manual looping with clear, fast primitives.
Best practices
- Reach for itertools before writing nested loops.
- Use
isliceinstead of slicing big iterables.
Hands-on exercise
Interview preparation — practice these questions:
- Iterator vs iterable?
- Show 3 itertools functions.
- What's StopIteration?
Summary
In summary: Iter protocol = simple contract. itertools = composable building blocks.
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