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Queryiest
QueryiestEnlightened
Asked: March 14, 20232023-03-14T11:55:02-05:00 2023-03-14T11:55:02-05:00In: Python

What is the purpose of the if __name__ == “__main__”: statement in Python?

The if __name__ == "__main__": statement in Python is used to determine whether the current script is being run as the main program or if it is being imported as a module by another script.

Here is how it works: when a Python module is imported by another script, any code that is not inside a function gets executed immediately. This can cause unexpected behavior and errors if the module contains code that is meant to be run only when the module is being used as the main program.

To avoid this issue, Python provides the if __name__ == "__main__": statement, which allows you to specify a block of code that will be executed only when the module is run as the main program. If the module is imported by another script, this block of code will not be executed.

Here’s an example to illustrate how it works. Suppose you have a Python module called my_module.py that contains the following code:

def my_function():
print("Hello, world!")

if __name__ == "__main__":
my_function()

In this example, the my_function() function is defined, and the if __name__ == "__main__": statement checks whether the module is being run as the main program. If it is, the my_function() function is called and the message “Hello, world!” is printed.

If you run the my_module.py script directly from the command line, the my_function() function will be executed and the message will be printed. However, if you import my_module.py as a module in another script, the my_function() function will not be executed unless you explicitly call it.

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  1. Queryiest
    Queryiest Enlightened
    2023-03-14T11:55:24-05:00Added an answer on March 14, 2023 at 11:55 am

    The if __name__ == "__main__": statement in Python allows you to specify a block of code that will be executed only when the module is run as the main program, and not when it is imported as a module by another script. This helps prevent unexpected behavior and errors when importing modules in Python.

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