Key takeaways:
- Python Data Classes simplify class creation for data storage.
- They come with built-in methods for initialization, representation, and comparison.
- Use the decorator to create data classes with type annotations.
Python Data Classes, introduced in Python 3.7, simplify class creation for data storage[1][2][4]. They usually don't have any other methods and are typically used to store information that will be passed between different parts of a program or a system[4].
To create a data class, use the decorator and specify the attributes and their types[1][2][4]. Here's an example:
Data classes come with built-in methods for initialization, representation, and comparison[1][2][4]. For example, you can instantiate a new object and access its attributes just like with a standard class:
You can also set default values for the class attributes[4]:
Data classes support combining with the module to create attributes of any kind in the class[4]. For instance, you can add a attribute to the class:
You can create a data class to hold multiple instances of another data class. For example, you can create a class that holds a list of instances[4]:
Data classes provide a simple and efficient way to create classes designed to hold data, reducing the amount of boilerplate code needed[1][2][4].
Summary for: Youtube