Creating a list of objects in Python

In Python, you can create a list of objects to store multiple instances of a custom class or objects of different types. This tutorial will guide you through the process of creating a list of objects, including defining a custom class, adding objects

In Python, lists are versatile data structures that can store a collection of items. These items can be of any data type, including objects created from custom classes. In this tutorial, you will learn how to create a list of objects in Python, along with examples to demonstrate the concept.
To create a list of objects, you first need to define a class that represents the objects you want to store in the list. Here's an example of defining a simple Student class:
Now that you have defined the Student class, you can create objects (instances) of this class. Each object will represent a unique student with a name and an age. Here's how you can create some student objects:
To create a list of student objects, you can simply add these objects to a Python list using square brackets. Here's how you can create a list of students:
You can access individual objects in the list by their index, just like you would with any other list. For example, to access the first student in the list:
You can modify the attributes of objects in the list directly. For example, to change the age of the second student:
To add objects to the list, you can use the append() method:
To remove objects from the list, you can use the remove() method:
You can use a for loop to iterate through the list of objects and perform operations on each object. For example, to print the names of all students in the list:
Here's a complete example that puts everything together:
This code defines a Student class, creates student objects, adds them to a list, and then iterates through the list to print their names and ages.
That's it! You've learned how to create a list of objects in Python. This is a fundamental concept that you'll frequently encounter when working with more complex data structures and applications.
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