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tutorial: python dataclass list of objects
in python, dataclasses provide a convenient way to define classes that are primarily used to store data. they automatically generate special methods like _init__, __repr__, and __eq_ based on the class attributes. this tutorial will focus on creating a list of objects using dataclasses in python.
1. creating a dataclass
first, you need to import the dataclass decorator from the dataclasses module. then, you can use it to create your dataclass with attributes.
in this example, myobject is a dataclass with two attributes: name and age.
2. creating a list of objects
next, you can create a list of myobject instances.
here, object_list is a list containing three myobject instances.
3. accessing elements in the list
you can access elements in the list using indexing or iteration.
4. modifying objects in the list
since dataclasses are mutable by default, you can modify attributes of objects in the list directly.
5. adding and removing objects
you can add objects to the list using the append() method and remove objects using the remove() method.
6. additional operations
you can perform various operations on the list of objects, such as sorting, filtering, and searching.
conclusion
in this tutorial, you learned how to create a list of objects using dataclasses in python. dataclasses provide a convenient way to define classes for storing data, and lists allow you to manage collections of these objects efficiently. you can perform various operations on the list, such as accessing, modifying, adding, and removing objects, as well as sorting, filtering, and searching.
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