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Title: Python Arrays of Objects: A Comprehensive Tutorial
Introduction:
In Python, arrays can be used to store collections of homogeneous data. However, when dealing with more complex data structures, such as objects with multiple attributes, a list of objects may be more appropriate. This tutorial will guide you through creating and manipulating arrays of objects in Python.
Define a Class for the Object:
Start by defining a class to represent the objects you want to store in the array. Here's a simple example of a Person class:
Create an Array of Objects:
Now, let's create an array of Person objects. You can use a list to store these objects:
Accessing Objects in the Array:
You can access individual objects in the array using indexing:
Iterating Through the Array:
Iterate through the array to perform operations on each object:
Adding Objects to the Array:
To add a new person to the array, you can use the append method:
Modifying Objects in the Array:
You can modify the attributes of an object in the array directly:
Removing Objects from the Array:
To remove an object from the array, use the remove method:
Sorting the Array:
You can sort the array based on a specific attribute using the sorted function and a lambda function as the key:
Filtering the Array:
Use list comprehension to filter objects based on a condition:
Conclusion:
Arrays of objects in Python provide a flexible way to organize and manipulate complex data structures. By encapsulating data within classes and using arrays to store instances of those classes, you can create powerful and readable code for handling diverse sets of information.
Remember to adapt the provided examples to your specific use case, and feel free to explore additional features and techniques available in Python to enhance your array of objects implementation.
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