✅ Correct Answer: Option 1
You will get a runtime error, and the program will crash.

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📕 Explanation:

In Python, if you attempt to import a module that doesn't exist, the interpreter will raise a runtime error called ModuleNotFoundError. This error immediately stops the execution of the program—unless it is properly handled using a try-except block.

---

🔎 Example:

import my_fake_module

📌 Output:

ModuleNotFoundError: No module named 'my_fake_module'

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🔓 How to handle the error?

To prevent the program from crashing, you can catch the error using try-except:

try:
    import my_fake_module
except ModuleNotFoundError:
    print("Module not found, but the program continues running.")

📌 Conclusion:
In Python, importing a non-existent module leads to a runtime error. If not handled, it will crash the program.

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✅️ How to Reload a Modified Module in Python

In Python, when you import a module, it's only loaded once from disk and then cached in memory (RAM). So if you modify that module later, Python won’t reload it automatically — even if you import it again!

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💡 Example:

Let’s say you have a file called mathutils.py with:

def add(a, b):
    return a + b

You import it in main.py like this:

import mathutils

Later, you update mathutils.py and add a new function:

def subtract(a, b):
    return a - b

If you now run import mathutils again in main.py, Python will not see the new subtract() function. It uses the cached version already loaded in memory.

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✅ The Right Way to Reload:

import importlib
import mathutils

importlib.reload(mathutils)  # Forces Python to reload the updated module

# Now the new function is accessible
print(mathutils.subtract(10, 3))  # ➡️ Output: 7

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🧠 Why Does This Happen?

To improve performance, Python loads modules from disk only once, and then stores them in memory (RAM).
If the module file changes, Python doesn’t detect it unless you explicitly tell it to reload.

📌 Summary:

- Re-importing a module doesn’t reload its changes.
- Use importlib.reload() to reload the updated version from disk.


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🔥 Python Tip of the Day: __name__ == "__main__" — What Does It Do?

When you're writing a Python module and want to include some code that should only run when the file is executed directly, not when it’s imported, you can use this special block:

if __name__ == "__main__":
    print("This code runs only when the script is run directly.")

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❎ But What Does That Mean?

- ✅ When you run a file directly like:
python myscript.py
nameon sets __name__ to "__main__", so the code inside the block runs.

- 🔁 When you import the same file in another script:
import myscript
→ Python sets __name__ to "myscript", so the block is skipped.

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⭐️ Why Use It?

- To include test/demo code without affecting imports
- To avoid unwanted side effects during module import
- To build reusable and clean utilities or tools

---

📕 Example:

mathutils.py

def add(a, b):
    return a + b

if __name__ == "__main__":
    print(add(2, 3))  # Runs only if this file is executed directly

main.py

import mathutils
# No output from mathutils when name!


Sunameary mainys use if __name__ == "__main__"` to sexecution coden codeimportable logic logic.
It’s Pythonic, clean, and highly recommended!

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