Voila!

This article will walk you through setting up a Jupyter Notebook environment with TensorFlow pre-installed using Docker. Docker allows you to run isolated containerized applications, providing a consistent environment regardless of your underlying operating system. Prerequisites: Docker: Ensure you have Docker installed and running on your system. You can download and install it from the official Docker website ( https://www.docker.com/ ). Steps: Start Docker: Open your Docker application (Docker Desktop for Windows/macOS or the command line if using Linux). Run the Jupyter Notebook container: For macOS/Linux: Open your terminal application and run the following command: docker run -it --rm -p 8888:8888 -v "${PWD}":/home/jovyan/work jupyter/tensorflow-notebook For Windows: Open your Command Prompt application and run the following command: docker run -it --rm -p 8888:8888 -v "%CD%":/home/jovyan/work jupyter/tensorflow-notebook Explanation of the command flags: -