Using functions as first-class objects in Python programming language : In Python, functions are considered first-class objects, which means they can be assigned to variables, passed as arguments to other functions, and returned as values from other functions. This powerful feature allows for functional programming paradigms, making it possible to write higher-order functions and implement dynamic and flexible code structures.

Closures in Python programming language : Closures in Python are functions that have access to variables from their enclosing scope, even after the outer function has finished executing. This allows for data encapsulation and provides a way to create and return functions with "remembered" values. Closures are useful for creating specialized functions, implementing decorators, and managing shared state.

Decorators in Python programming language : Decorators in Python are a powerful feature that allows for modifying or enhancing the behavior of existing functions or classes without making permanent changes to their original code. They function as wrappers around the target object and provide a convenient and reusable way to add functionality, such as logging, timing, or authentication, to code.

Decorators with arguments in Python : Decorators with arguments in Python allow for more flexibility by enabling decorators to accept additional parameters. By using nested functions, decorators can take arguments and return a new function that wraps the target object with the desired modifications. This allows for customization of decorator behavior and expands their versatility in Python programming.

Class Decorators in Python : Class decorators in Python are similar to function decorators but are specifically designed to modify the behavior of classes. They are applied to the class definition and can add or modify attributes, methods, or behavior of the class. Class decorators provide a concise and reusable way to extend and alter the functionality of classes in Python.

Property decorators in Python programming language : Property decorators in Python are a type of decorator specifically used for modifying the behavior of class properties. They allow for control over attribute access, such as getting, setting, and deleting property values. Property decorators provide a clean and consistent way to implement data validation, attribute manipulation, and computed properties in Python classes.

Named Tuples in Python : Named tuples in Python are a lightweight data structure that behaves like an immutable sequence or a simple class with named fields. They provide a convenient way to define and work with structured data, similar to a database record or a lightweight object. Named tuples are useful for tasks involving data storage, serialization, and data manipulation in a concise and readable manner.

Context Managers in Python  : Context managers in Python provide a way to manage resources, such as files or network connections, in a controlled manner. They ensure that resources are properly initialized before use and released after use, even in the presence of exceptions. Context managers are commonly used with the 'with' statement and offer a cleaner and more readable way to handle resource management in Python.