Skip to main content

if __name__ == "__main__" in Python

 


Learning Sections          show

if __name__ == "__main__" in Python

The if __name__ == "__main__" construct in Python is used to determine whether the Python script is being run as the main program or being imported as a module into another script. This is particularly useful for writing code that can be both imported and executed standalone.

1. Usage

The common usage of if __name__ == "__main__" is:


if __name__ == "__main__":
    # Code to be executed when the script is run directly
    

2. Example

Consider the following example:


# Module code
def hello():
    print("Hello, world!")

if __name__ == "__main__":
    # Executed when the script is run directly
    hello()
    

If you run this script directly, it will print Hello, world!. However, if you import this script as a module into another script, the hello() function will not be executed unless explicitly called.


3. Benefits

  • Allows a module to be both imported and run as a standalone script.
  • Helps separate code that is meant to be reusable from code that is meant to be executed directly.

Popular posts from this blog

Learn Python

  Learning Sections Introduction to Python Comment, escape sequence and print statement in Python Variables and Data Types in Python Typecasting in Python User input in Python String slicing and operations on string in Python String methods in Python If else conditional statements in Python Match case statement in Python For loops in Python While loops in Python Break and continue statement in Python Functions in Python Function Arguments in Python introduction to lists in Python List methods in Python Tuples in Python Operations on tuple in Python f strings in Python Docstrings in Python Recursion in Python Sets in Python Set methods in Python Dictionaries in Python for Loop with else in Python Exception Handling in Python Finally keyword in Python Raising custom errors in Python Short hand if else statements Enumerate Function in Python Virtual Environment in Python How import works in Python if __nam...

MultiProcessing in Python

  Learning Sections          show MultiProcessing in Python Multiprocessing in Python involves using the multiprocessing module to run multiple processes concurrently, taking advantage of multiple CPU cores. This module provides a higher level of concurrency than threading and is especially useful for CPU-bound tasks. Creating Processes You can create and start a new process by using the multiprocessing module: import multiprocessing def print_numbers (): for i in range ( 10 ): print ( i ) p1 = multiprocessing.Process ( target = print_numbers ) p1 . start () p1 . join () # Wait for the process to complete Using Process Pools The multiprocessing module provides a Pool class, which allows you to manage a pool of worker processes: from multiprocessing import Pool def square ( n ): return n * n with Pool ( 4 ) as pool : result = pool.map ( square , range (...

Match Case Statement in Python

  Learning Sections      show Match-Case Statements In Python 3.10 and later, the match-case statement was introduced as a way to perform pattern matching, similar to switch-case statements in other programming languages. It allows you to check the value of a variable against multiple patterns and execute corresponding blocks of code. Basic Match-Case Statement The match statement is followed by an expression and several case clauses. Each case specifies a pattern and an action to be taken if the pattern matches the value of the expression. # Basic match-case statement example command = "start" match command : case "start" : print ( "Starting..." ) case "stop" : print ( "Stopping..." ) case "pause" : print ( "Pausing..." ) case _: print ( "Unknown command" ) Matching Multiple Patterns Using the pipe sy...