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Create Class Objects Using Loops in Python

Last Updated : 07 Mar, 2024
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We are given a task to create Class Objects using for loops in Python and return the result, In this article we will see how to create class Objects by using for loops in Python.

Example:

Input: person_attributes = [("Alice", 25), ("Bob", 30), ("Charlie", 35)]
Output: Name: Alice, Age: 25, Name: Bob, Age: 30, Name: Charlie, Age: 35
Explanation: Class objects are created using loop

Create Class Objects Using Loops in Python

Below are some examples of create Class Objects in Python:

Example 1: Simple Class Instantiation Using For Loops

in this example, below code defines a `Person` class, creates instances with a for loop using attributes from a list of tuples, and prints each person’s details. It showcases a compact and efficient use of for loops in Python for object instantiation and data handling.

Python3




class Person:
    def __init__(self, name, age):
        self.name = name
        self.age = age
 
# List of tuples containing person attributes
person_attributes = [("Alice", 25), ("Bob", 30), ("Charlie", 35)]
 
# Create Person objects using a for loop
people = []
for name, age in person_attributes:
    person = Person(name, age)
    people.append(person)
 
# Print the details of each person
for person in people:
    print(f"Name: {person.name}, Age: {person.age}")


Output

Name: Alice, Age: 25
Name: Bob, Age: 30
Name: Charlie, Age: 35

Output

Name: Alice, Age: 25
Name: Bob, Age: 30
Name: Charlie, Age: 35

Example 2: Dynamic Object Creation From List of Attributes Using For Loop

In this example, below code defines a `Product` class and utilizes a list of dictionaries to create instances with concise list comprehension. The for loop then prints the details of each product, illustrating an efficient and readable approach to object instantiation and data handling in Python.

Python3




class Product:
    def __init__(self, name, price):
        self.name = name
        self.price = price
 
# List of dictionaries containing product attributes
product_data = [
    {"name": "Laptop", "price": 1000},
    {"name": "Phone", "price": 800},
    {"name": "Tablet", "price": 500}
]
 
# Create Product objects using list comprehension
products = [Product(data["name"], data["price"]) for data in product_data]
 
# Print the details of each product
for product in products:
    print(f"Product: {product.name}, Price: ${product.price}")


Output

Product: Laptop, Price: $1000
Product: Phone, Price: $800
Product: Tablet, Price: $500

Example 3: Using Dictionaries to Create Objects Using For loop

In this example, below code introduces two classes, `Product` and `Person`, with specific attributes. Using for loops, it efficiently creates instances for each class from different data structures (dictionaries and tuples) and prints their details. This concise approach highlights the flexibility of for loops in handling various class instantiation scenarios in Python.

Python3




class Product:
    def __init__(self, name, price):
        self.name = name
        self.price = price
 
class Person:
    def __init__(self, name, age):
        self.name = name
        self.age = age
 
product_data = [
    {"name": "Laptop", "price": 1000},
    {"name": "Phone", "price": 800},
    {"name": "Tablet", "price": 500}
]
 
products = []
for data in product_data:
    product = Product(**data)
    products.append(product)
 
for product in products:
    print(f"Product: {product.name}, Price: ${product.price}")
 
person_attributes = [("Alice", 25), ("Bob", 30), ("Charlie", 35)]
 
people = [Person(*attributes) for attributes in person_attributes]
 
for person in people:
    print(f"Name: {person.name}, Age: {person.age}")


Output

Product: Laptop, Price: $1000
Product: Phone, Price: $800
Product: Tablet, Price: $500
Name: Alice, Age: 25
Name: Bob, Age: 30
Name: Charlie, Age: 35

Conclusion

In conclusion , Utilizing for loops to create class objects in Python is a powerful technique that enhances code efficiency, scalability, and flexibility. By iterating through collections of data, you can dynamically generate instances of a class with minimal code duplication. This approach not only makes your code more readable but also simplifies maintenance and updates. The for loop proves to be a valuable tool in the realm of object-oriented programming, empowering developers to handle repetitive tasks with elegance and precision.



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