“@classmethod” is a decorator for class methods from "summary" of Fluent Python by Luciano Ramalho
The `@classmethod` decorator is a built-in Python decorator that is used to define a method as a class method. When a method in a class is decorated with `@classmethod`, it receives the class itself as the first argument, conventionally named `cls`. This allows the method to access and modify class state, which is shared among all instances of the class. Class methods are different from instance methods in that they operate on the class itself rather than on instances of the class. They are commonly used as factory methods to create instances of a class or to manipulate class variables. Because they receive the class object as the first parameter, they can be used to call other class methods or access class attributes. The `@classmethod` decorator is placed before the method definition in the class body to indicate that the method is a class method. This decorator serves as a signal to both the developer and the interpreter that the method is intended to be used with the class rather than with instances of the class. It enhances the readability of the code by making the intention behind the method clear. By using the `@classmethod` decorator, Python provides a straightforward way to define class methods within a class definition. This helps developers organize their code and distinguish between methods that operate on instances of a class and methods that operate on the class itself. The decorator syntax is concise and easy to understand, making it simple for developers to leverage the power of class methods in their code.
Similar Posts
Protocols are informal interfaces in Python
Protocols are informal interfaces in Python, a term that is often used in the Python community to refer to interfaces that are ...
Dive into namespaces and libraries
When you write a program in C or C++, you will almost certainly be using libraries. Libraries contain prewritten code that perf...
Learn how to write and execute Python code
To become proficient in Python, you must first understand the fundamentals of writing and executing code. Python is a high-leve...
“GIL” can impact performance in multithreaded applications
The Global Interpreter Lock (GIL) in Python is a mutex that protects access to Python objects, preventing multiple threads from...
Loops execute code repeatedly
Loops are a fundamental concept in programming that allow us to execute code repeatedly. This is particularly useful when we ne...
“pickle” serializes objects for storage or transmission
"Pickle" is a module in Python that can serialize objects for storage or transmission. Serialization is the process of converti...
Multiple inheritance can lead to method resolution order issues
When a class inherits from multiple superclasses, it must resolve the methods it inherits from them. This can lead to method re...
Learn about compiler optimization and performance tuning
Compiler optimization and performance tuning are essential aspects of software development that can greatly impact the efficien...