Understanding `__name__` and `__main__` in Python
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Created:
14th of August 2024
11:31:31 AM
Modified:
26th of September 2024
08:58:53 AM
Understanding `__name__` and `__main__` in Python
In Python, the __name__
variable is a special built-in variable that helps determine whether a Python script is being run directly or being imported as a module into another script. This mechanism allows you to control the behaviour of the script depending on the context in which it is executed.
The `__name__` Variable
Let's first understand the concept of the __name__
variable and how it is utilised in Python. The value of the __name__
variable is crucial in determining the current execution context of a Python module.
- Every Python module (a file containing Python code) has a
__name__
variable. - When a module is run directly (e.g., by executing
python script.py
), Python sets the__name__
variable to"__main__"
. - When a module is imported into another module (e.g., using
import script
), the__name__
variable is set to the name of the module (e.g.,"script"
).
The `__main__` Identifier
The __main__
identifier plays a key role in determining the entry point of the program. It acts as an indicator that the script is being executed directly and not being imported elsewhere.
- The
__main__
identifier is a special value that tells the script whether it is running as the main program. - The typical use case is to place code that should only execute when the script is run directly under the
if __name__ == "__main__":
block.
Example 1: Basic Use of `__name__` and `__main__`
def main():
print("This script is running directly.")
def imported_function():
print("This function is being imported.")
if __name__ == "__main__":
main()
Output when run directly:
C:\> python script.py
This script is running directly.
Output when imported:
C:\> import script
# No output, as the script is imported but not executed
Trivia: The reason why main()
is commonly used by convention is that it’s easier for developers to identify the entry point of a program. This convention comes from other programming languages like C and Java, where main()
is the designated entry point.
Can Other Names Be Used Instead of `main()`?
While the function name main()
is a convention commonly used in Python scripts, it is technically possible to use any function name in place of main()
. Let's explore this concept further.
Example 2: Using a Different Function Name
def start():
print("This script is running directly with a different entry point.")
if __name__ == "__main__":
start()
Output when run directly:
C:\> python script.py
This script is running directly with a different entry point.
Important Note: Although you can use any name, it is recommended to stick to main()
for clarity and consistency, as this is a widely recognised convention among Python developers.
Why Use `__name__ == "__main__"`?
Now, let's understand the importance of using the `if __name__ == "__main__":` construct in Python programs. This construct is used to control the flow of the program based on how the script is executed.
- Script Versatility: It allows the script to be both executable and importable without side effects. For instance, test code or demo code can be placed under this block.
- Code Reusability: You can import functions and classes from the script into other scripts without executing the top-level code accidentally.
Example 3: Using `__name__` in a Multi-Module Program
File: `module1.py`
def hello():
print("Hello from module1")
if __name__ == "__main__":
print("module1 is being run directly")
else:
print("module1 has been imported")
File: `module2.py`
import module1
print("module2 is running")
module1.hello()
Output when `module1.py` is run directly:
C:\> python module1.py
module1 is being run directly
Output when `module2.py` is run:
C:\> python module2.py
module1 has been imported
module2 is running
Hello from module1
Summary
The `__name__` variable is crucial for differentiating between when a module is run directly versus when it is imported.
- The `if __name__ == "__main__":` block is used to prevent certain code from running when the module is imported.
- While you can use any function name instead of `main()`, sticking to `main()` is recommended for clarity.
This approach makes Python code more modular, reusable, and easier to manage, especially in larger projects.