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Download this code from https://codegive.com Google Colab is a powerful cloud-based platform that allows you to write and execute Python code in a collaborative environment. It provides free access to GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units), making it an excellent choice for machine learning and data analysis tasks. In this tutorial, we will guide you through the process of running a Python program in Google Colab. Here's an example of a simple Python program that prints "Hello, Colab!": Execute the code cell to see the output below the cell. If your Python program requires external files, you can upload them to Google Colab. Follow these steps: If you have data or files stored in your Google Drive, you can mount it in Colab. This allows you to access and manipulate your files seamlessly. Follow the link provided, grant permission, and enter the authorization code to mount your Google Drive. If your Python program requires additional packages, you can install them using the following command: Replace package_name with the name of the package you want to install. Congratulations! You've successfully run a Python program in Google Colab. This tutorial covers the basics, and you can explore more features and functionalities as you become more familiar with the platform. ChatGPT