Jupyter Notebook is a powerful tool for data analysis and visualization, and it is widely used in the data science community. One of the great things about Jupyter Notebook is that it can be easily deployed on a variety of platforms, including Docker. In this blog, we will go through the steps of deploying a Jupyter Notebook on Docker, including a practical example with code.    What is Docker?   Docker is a containerization platform that allows you to package an application and its dependencies into a single container that can be easily deployed on any machine. Containers are lightweight, standalone, and executable packages that contain everything an application needs to run, including code, libraries, dependencies, and runtime. Using Docker, you can easily deploy and run applications in a consistent and reproducible manner, regardless of the environment. This makes it a great platform for deploying Jupyter Notebooks, as it allows you to share your notebooks with others in a consist