__name__

Definition

__name__ is a built-in Python variable that represents the name of the current module or script being executed. It is used to determine the context in which the code is running, which is particularly useful for writing modular and reusable code.

5 Must Know Facts For Your Next Test

1. The value of __name__ is set to '__main__' when the script is run directly, and to the module name when the script is imported as a module.
2. The __name__ variable is commonly used to create executable scripts that can be run directly, as well as reusable modules that can be imported and used in other programs.
3. The __name__ variable allows you to write code that behaves differently when the script is run directly versus when it is imported as a module.
4. Using the __name__ variable can help you avoid unintended side effects when your code is imported as a module, such as running unnecessary initialization code or tests.
5. The __name__ variable is a powerful tool for writing modular, maintainable, and testable Python code.

Review Questions

• Explain the purpose of the __name__ variable in Python and how it is used to determine the execution context.
  • The __name__ variable in Python is a built-in variable that represents the name of the current module or script being executed. Its purpose is to allow you to write code that behaves differently depending on whether the script is being run directly or imported as a module. When a script is run directly, the value of __name__ is set to '__main__', indicating that the script is the main entry point of the program. When the script is imported as a module, the value of __name__ is set to the name of the module. This allows you to write code that only runs when the script is executed directly, and not when it is imported as a module, which can be useful for writing executable scripts and reusable modules.
• Describe how the __name__ variable can be used to create modular and reusable Python code.
  • The __name__ variable can be used to create modular and reusable Python code by allowing you to write code that behaves differently depending on whether the script is being run directly or imported as a module. This can be particularly useful when writing scripts that serve multiple purposes, such as being both an executable script and a reusable module. By using the __name__ variable, you can write code that only runs when the script is executed directly, such as initialization code or tests, while still allowing the module to be imported and used in other programs without running the unnecessary code. This helps to keep your code modular, maintainable, and testable, as you can easily separate the executable and reusable parts of your code.
• Analyze how the __name__ variable can help you avoid unintended side effects when your code is imported as a module.
  • When a Python script is imported as a module, the code in the script is executed, which can sometimes lead to unintended side effects if the script was not designed with modularity in mind. The __name__ variable can help you avoid these unintended side effects by allowing you to write code that only runs when the script is executed directly, and not when it is imported as a module. For example, you can use the __name__ variable to check if the script is being run directly, and then only execute certain initialization code or tests if that is the case. This helps to keep your module clean and free from unnecessary code, making it more reusable and maintainable. By using the __name__ variable effectively, you can write Python code that is more modular, flexible, and less prone to unintended side effects when imported as a module.

Related terms

Module: A module in Python is a file containing Python definitions and statements, which can be imported and used by other Python programs.

Namespace: A namespace in Python is a collection of names, where each name is unique. It provides a way to organize and access variables, functions, and other objects in a program.

Execution Context: The execution context in Python refers to the environment in which a piece of code is being executed, including the variables, functions, and other objects that are available to the code.