Metaprogramming in Python

• Metaprogramming is a programming technique in which computer programs have the ability to modify their own or other programs codes.
• Metaprogramming in Python refers to a programming technique where programs have the ability to treat other programs as their data. This means that a program can read, generate, analyze, or transform other programs, and even modify itself while running.
• Python supports metaprogramming through several features like decorators, metaclasses, and the introspection capabilities provided by the inspect module.

Key concepts of metaprogramming

Introspection

Introspection is the ability of a program to examine the type or properties of an object at runtime. In Python, you can use built-in functions like type(), dir(), getattr(), hasattr(), and the inspect module for introspection.

Refer q1.py

Decorators

Decorators are a way to modify or enhance functions and methods without changing their definition. They are often used for logging, access control, memoization, and more.

Refer q2.py

Metaclasses

Metaclasses are classes of classes. They define the behavior of classes and can be used to control class creation. The metaclass of a class is defined by setting the __metaclass__ attribute.

It’s important to remember that metaclasses are classes that are instantiated to get classes.

Refer q3.py

Dynamic Code Execution

Python allows the execution of dynamically generated code using exec() and eval() functions.