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Metaprogramming in Python provides developers with powerful tools to dynamically manipulate and generate classes and their behaviors at runtime. Essential techniques include utilizing metaclasses, dynamically creating methods and attributes, and leveraging the built-in type function for class generation. Although metaprogramming simplifies coding and enables the creation of advanced frameworks, it requires careful application to maintain code readability.
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Term: Metaprogramming
Definition: A programming technique where code can manipulate other code or itself at runtime.
Term: Metaclass
Definition: A class of a class, defining how classes behave and typically subclassed from type.
Term: type()
Definition: A built-in function in Python that can be used to dynamically create new classes.
Term: Dynamic Attributes
Definition: Attributes that can be added to classes or instances at runtime using functions like setattr.
Term: Custom Class Behavior
Definition: Modifying class attributes and methods post-declaration to inject additional behavior.
Term: ORM
Definition: Object Relational Mappers like Django, which use metaprogramming to map database tables to Python classes.