Iterators & Generators
Master memory-efficient iteration. Learn custom iterators, generator functions with yield, and itertools.
Master memory-efficient iteration. Learn custom iterators, generator functions with yield, and itertools. This hands-on tutorial focuses on practical implementation of iterators & generators concepts.
Iterators & Generators
Iterators and Generators let you work with sequences of data efficiently, without loading everything into memory.
The Iterator Protocol
An iterator is an object that implements two methods:
__iter__()- returns the iterator object__next__()- returns the next item
Custom Iterator
Generator Functions with yield ⚡
Generators are a simpler way to create iterators using the yield keyword.
Memory Efficiency: List vs Generator
Generator Expressions
Practical Example: File Processing
itertools Module 🛠️
Python's itertools provides powerful iterator building blocks.
Fibonacci Generator
Coding Challenge: Data Pipeline 🔄
AI Mentor
Confused about "Python iterators generators yield itertools"? Ask our AI mentor for a simplified explanation.
Quiz
Quiz
Question 1 of 5What does yield do?
Key Takeaways
✅ Iterators implement __iter__() and __next__().
✅ Generators use yield for simpler iteration.
✅ Generator expressions () are memory-efficient.
✅ itertools provides powerful iterator tools.
✅ Generators are lazy - compute values on demand.
What's Next?
In the final lesson of this module, we'll learn about Testing with pytest - writing tests to ensure code quality.
Keep coding! 🚀