Python, a language that encapsulates brilliance and versatility, empowers programmers to achieve remarkable feats. In this article, we'll delve into the world of imports and modules in Python, unlocking the potential of code organization, reuse, and command-line flexibility. By delving into practical examples, you'll harness the art of importing functions, creating modules, and enhancing your programs with command-line arguments.

Embracing the Magic of Python

Python's Marvel: Python enchants developers with its elegant syntax, extensive libraries, and capacity to solve a myriad of challenges.

Unveiling the Art of Importing Functions

# Importing Functions from Another File
from math import sqrt

result = sqrt(25)
print("Square root:", result)

Navigating Imported Functions

# Using Imported Functions
import random

random_num = random.randint(1, 10)
print("Random Number:", random_num)

Crafting Your Modules

# Creating a Module (my_module.py)
def greet(name):
    return "Hello, " + name

Exploring the Secrets with dir()

# Using dir() to List Available Symbols
import my_module

symbols = dir(my_module)
print("Available Symbols:", symbols)

Unleashing the Power of Import: Execution Control

# Preventing Execution on Import
if __name__ == "__main__":
    print("This code runs only when script is executed directly.")

Elevating Your Scripts with Command-Line Arguments

# Using Command-Line Arguments
import sys

args = sys.argv
print("Script Name:", args[0])
print("Arguments:", args[1:])

Conclusion

Python's import and module capabilities form a cornerstone of its prowess. By immersing yourself in practical examples, you've embarked on a journey that enhances code organization, reusability, and command-line adaptability.

As you continue exploring Python's universe, remember that each import, module creation, or command-line adaptation deepens your programming toolkit. Keep experimenting, learning, and applying these concepts—it's through continuous practice that you elevate your programming journey!

---