Python Import custom module in Google Colab

Google Colab is a fantastic cloud-based platform that allows you to run Python code in a Jupyter Notebook-like environment. While it provides a wide range of built-in libraries, you may also want to use your own custom modules for specific tasks. In this tutorial, we will walk you through the steps to import a custom module in Google Colab, along with a code example.
To use your custom Python module in Google Colab, you need to upload it to your Colab workspace. You can do this by using the files.upload() function. Here's how:
This code will prompt you to upload the custom module from your local machine.
You can verify that your module has been successfully uploaded by listing the uploaded files in the current directory using the !ls command:
You should see your custom module file listed.
Now that you've uploaded your custom module, you can import it in your Google Colab notebook as you would with any Python module. Make sure to import it without the .py extension. For example, if your module is named "my_module.py," you can import it like this:
You can now use the functions, classes, and variables defined in your custom module within your Colab notebook. Here's an example of how you can use a function from your module:
Let's put it all together with a complete example. Suppose you have a custom module named "math_operations.py" with a function that adds two numbers:
math_operations.py:
And in your Google Colab notebook:

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