Python Advance | Chapter 2: Python Decorators and Descriptors by Prakhar Chauhan | Learn Smarter
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Chapter 2: Python Decorators and Descriptors

The chapter provides an in-depth exploration of decorators and descriptors in Python, covering their definitions, functionality, and applications. It presents various types of decorators including function decorators, decorators with parameters, class decorators, and built-in decorators like @property, @staticmethod, and @classmethod. Additionally, the chapter introduces the descriptor protocol and its methods, emphasizing the creation of custom descriptors for robust attribute management and validation in Python.

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Sections

  • 2

    Python Decorators And Descriptors

    This section introduces Python decorators and descriptors, explaining how they modify or manage function and class behaviors.

    Learning Practice

  • 2.1

    Introduction To Decorators

    This section introduces decorators in Python as a design pattern for modifying function and class behavior without altering their source code.

    Learning Practice

  • 2.2

    Function Decorators: Concept And Usage

    Function decorators are a powerful Python feature allowing for the modification of function behavior without altering their source code.

    Learning Practice

  • 2.3

    Decorators With Parameters

    This section explores how decorators in Python can accept parameters, enabling more flexible functionality for modifying behaviors of functions.

    Learning Practice

  • 2.4

    Class Decorators

    Class decorators in Python allow modification of class behavior by wrapping classes, enhancing their functionality without altering their source code.

    Learning Practice

  • 2.5

    Built-In Decorators: @property, @staticmethod, And @classmethod

    This section covers three built-in decorators in Python: @property, @staticmethod, and @classmethod, enhancing class behavior and encapsulation.

    Learning Practice

  • 2.5.1

    @property

    @property allows for the creation of methods that operate like attributes, including getters, setters, and deleters, facilitating controlled access to instance variables.

    Learning Practice

  • 2.5.2

    @staticmethod

    The @staticmethod decorator allows methods to be defined within a class that do not require access to an instance or class variables.

    Learning Practice

  • 2.5.3

    @classmethod

    @classmethod is a built-in decorator in Python that allows a method to receive the class as its first argument instead of an instance.

    Learning Practice

  • 2.6

    Descriptor Protocol: __get__, __set__, And __delete__

    Descriptors in Python manage attribute access through the methods __get__, __set__, and __delete__.

    Learning Practice

  • 2.7

    Creating Custom Descriptors For Attribute Management

    This section introduces custom descriptors in Python, enabling enhanced control over attribute management through type validation.

    Learning Practice

References

Untitled document (13).pdf

Class Notes

Memorization

What we have learnt

  • Decorators modify the behav...
  • Python includes built-in de...
  • Descriptors enable controll...

Final Test

Revision Tests