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Python __call__: Making Objects Callable
python **call**: Learn how Python __call__ makes objects callable like functions, with practical examples covering callbacks, decorators, and stateful callables.
Python next(): Getting the Next Item from an Iterator
Learn how to use Python's next() to fetch the next item from iterators and generators, handle StopIteration, and work with streaming data.
Python Contains: Membership Testing with the in Operator
Learn how Python's in operator checks membership across lists, strings, sets, and dictionaries, including performance tradeoffs and common pitfalls.
Implementing __delitem__ in Python
Learn how to implement Python's __delitem__ special method so custom classes support del obj[key], handle missing keys, and stay consistent with __getitem__ and __setitem__.
Python __setitem__: Implementing Item Assignment
python **setitem**: Learn how to implement __setitem__ in Python to control item assignment for custom classes, with practical examples and edge cases.
Python __getitem__: Implementing Custom Container Access
Learn how Python's __getitem__ method powers obj[key] for custom containers: handle slices, raise correct exceptions, and avoid common edge cases.
Python len() Explained: Behavior and Performance
Understand how Python's len() works across built-in types, why it is O(1) for built-in containers, and how to support it in custom classes.
Python __str__ vs __repr__: What's the Difference?
Understand the difference between Python's __str__ and __repr__ methods, when to implement each, and how they affect debugging and user-facing display.
Python repr: The __repr__ Method Explained
python **repr**: Learn how to implement Python's __repr__ method to produce unambiguous, developer-friendly object representations for debugging and logging.
Working with Python str: Methods, Performance, and Pitfalls
python **str**: Learn how Python's str type works: immutable Unicode text, common methods, formatting, performance tradeoffs, and pitfalls.