From the course: Python for AI Projects: From Data Exploration to Impact
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Python environment - Python Tutorial
From the course: Python for AI Projects: From Data Exploration to Impact
Python environment
- [Instructor] Before we explore all of these frameworks and AI components, let's quickly talk about the Python environment we'll be using. We'll be working inside of Jupyter Notebook on Google Colab. Colab is a free computing environment provided by Google, runs in the cloud, and gives us easy access to GPUs if we need them. It's the perfect environment for experimenting, visualizing results, and running Python interactively, without needing to install anything on your local machine. Once we've built and tested our machine learning and AI components in our Jupyter Notebooks, we'll take it a step further by creating a series of Streamlit applications. We'll run these Streamlit apps directly on Colab and expose the server to our local machine using a public tunnel, so you can interact with your AI application, just like it's running on your desktop. This setup gives you a flexible, end-to-end workflow, from rapid…
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