Generators & Iterators
Learning Path
Hands-on Labs
Each objective has a coding lab that opens in VS Code in your browser
Understand iteration
You will understand Python's iteration protocol. Implement __iter__ and __next__ methods, create a custom iterator class, and use iter() on sequences to get iterators.
Create generators
You will create memory-efficient generators. Write your first generator function with yield, understand how yield produces values lazily, and compare memory usage to returning a full list.
Use generator expressions
You will use compact generator expressions. Convert list comprehensions to generator expressions, chain generators together, and measure memory savings compared to lists.
Build data pipelines
You will build efficient data processing pipelines. Chain multiple generators together, process large files lazily without loading into memory, and filter and transform data streams.
Use itertools
You will leverage the itertools module. Use islice to limit iterations, use chain to combine iterables, and use groupby for aggregation patterns.