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How to Build a Python Custom Iterator
Learn how to implement a Python custom iterator using __iter__ and __next__, when to return self, and when a generator is the simpler choice.
Understanding the Python Iterator Protocol
Learn how the Python iterator protocol works, how to implement custom iterators, and when generators are a better choice.
Python Iterable vs Iterator
Learn the difference between Python iterables and iterators, how the iterator protocol works, and when to use each for efficient code.
Python Iterator Protocol and Custom Iterators
Learn how Python iterators work, how to implement custom iterators, and when to use them for memory-efficient lazy evaluation.
Python Iterable: The Iteration Protocol Explained
Learn what makes an object iterable in Python, how the iteration protocol works, and how to build custom iterables with classes and generators.
Python nullcontext for Optional Context Managers
Understand Python nullcontext and how it helps you write cleaner code when a context manager is optional, with examples and runtime considerations.
Python Closing Context Manager: Cleanup Patterns
Learn how contextlib.closing wraps any object that has a close() method so Python's with statement can handle resource cleanup reliably.
Suppressing Exceptions in Python with contextlib.suppress
Learn how to use contextlib.suppress in Python to ignore expected exceptions, pass multiple exception types, and decide when try/except gives you more control.
Python Multiple With Statements: Combining Context Managers
Learn how to combine multiple with statements in Python, control cleanup order, handle exceptions, and choose between flat, nested, or ExitStack-based code.
Python Nested Context Managers: Syntax and Exit Order
Learn how to nest context managers in Python: syntax, LIFO exit order, exception propagation, and using ExitStack for dynamic resource sets.