Skip to main content

Getters and Setters in Python

 


Learning Sections          show

Getters and Setters in Python

Getters and setters in Python are used to ensure that an attribute's value is retrieved and updated in a controlled way. In Python, the @property decorator is used to define getters, setters, and deleters.

1. Using @property

The @property decorator allows you to define methods that behave like attributes. This makes the code more readable and maintainable.

Example:


class Person:
    def __init__(self, name):
        self._name = name

    # Getter method
    @property
    def name(self):
        return self._name

    # Setter method
    @name.setter
    def name(self, value):
        if isinstance(value, str) and value.strip():
            self._name = value
        else:
            raise ValueError("Name must be a non-empty string")

# Create an instance of the class
person = Person("John")

# Access the name attribute using the getter
print(person.name)  # Output: John

# Update the name attribute using the setter
person.name = "Jane"
print(person.name)  # Output: Jane

# Attempt to set an invalid name
try:
    person.name = ""
except ValueError as e:
    print(e)  # Output: Name must be a non-empty string
    

Getters and setters provide a way to control access to an attribute, allowing for validation and other logic to be applied when the attribute is accessed or modified.

Popular posts from this blog

Generators in Python

  Learning Sections          show Generators in Python Generators are a special type of iterator in Python that allow you to iterate over a sequence of items without storing them all in memory at once. They are useful for generating large sequences of data on-the-fly, or for processing data in a memory-efficient manner. Creating Generators In Python, generators are created using generator functions or generator expressions: # Generator function def my_generator ( n ): for i in range ( n ): yield i # Generator expression my_generator = ( i for i in range ( 10 )) A generator function uses the yield keyword to yield values one at a time, while a generator expression creates an anonymous generator. Iterating Over Generators You can iterate over the values produced by a generator using a for loop: for value in my_generator ( 5 ): print ( value ) This w...

Inheritance in Python

  Learning Sections          show Inheritance in Python Inheritance is a fundamental concept in object-oriented programming (OOP) that allows a class to inherit attributes and methods from another class. The class that inherits is called the child class or subclass, and the class being inherited from is called the parent class or superclass. Basic Inheritance In Python, a child class inherits from a parent class by specifying the parent class in parentheses after the child class name. Example: class Animal : def __init__ ( self , name ): self . name = name def speak ( self ): raise NotImplementedError ( "Subclass must implement this method" ) class Dog ( Animal ): def speak ( self ): return "Woof!" class Cat ( Animal ): def speak ( self ): return "Meow!" # Create instances of Dog and Cat dog = Dog ( "Buddy" ) cat = Cat ( "Whiskers" ...

If else Conditional Statements in Python

  Learning Sections     show If-Else Conditional Statements Conditional statements allow you to execute different blocks of code based on certain conditions. The most common conditional statement is the if statement. It can be used alone, or combined with elif (else if) and else statements to handle multiple conditions. If Statement The if statement evaluates a condition, and if the condition is true, the block of code indented under the if statement is executed. # If statement example x = 10 if x >> 0 : print ( "x is positive" ) If-Else Statement The if-else statement adds an additional block of code that runs if the condition is false. # If-else statement example x = -10 if x >> 0 : print ( "x is positive" ) else : print ( "x is non-positive" ) If-Elif-Else Statement The if-elif-else statement allows you to check multiple conditions. The fir...