Every object in Python is defined by its value, ID, and type, with mutable objects like lists differing from immutable ones like tuples.
Python uses dynamic typing, where a variable is a pointer to an object, allowing for flexible 'duck typing' based on method availability rather than inheritance.
Python resolves variables using the LEGB rule (Local, Enclosing, Global, Built-in), and the `global` and `nonlocal` keywords are used to modify variables in outer scopes.
Python doesn't have true private methods, but it uses name mangling on methods prefixed with a double underscore to discourage direct access from outside the class.
The `and` and `or` operators use short-circuit evaluation, stopping as soon as the outcome is known and returning the actual object that determined the result.
The `is` operator checks for object identity, revealing Python's internal caching of small integers and simple strings for performance optimization.
The speaker answers audience questions regarding the relevance of `__slots__` in modern Python and the best practices for using `global` and `nonlocal` keywords.
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Ismaning, Germany
37:37Eli Holderness
57:46Adrian Schmitt
21:02Andy Terrel
59:43Paul Graham
50:38Radovan Kavický
50:22Oliver Bestwalter
27:11Eli Holderness
33:44Fabian Schindler
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Jobs that call for the skills explored in this talk.
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