There are many Jupyter images, depending on the variety of Python libraries installed and the additional setup of R and/or PySpark. Having installed Docker, we come to the most interesting part - choosing the image of the Jupyter notebook that will suit your needs.

You can install the Docker app to your Mac using instructions. It is really convenient because your Mac remains clean. If you screwed up something, you can always start again by deleting the container and running the new one. It means that when you download an image and run it - you can do whatever you like within the running environment. You can create several containers running at the same time based on the same image. Each container has resources allocated to it: e.g. You can download various docker images from Docker Hub, which is similar to GitHub, where people store images instead of code.Ī container is a running environment based on the image you specify. There are two main concepts that you need to understand: image and container.Īn image is a combination of system files with required languages, libraries, and other dependencies placed all together into a single file. Also, using Docker, you control how much of your computer’s resources are allocated to the application. It creates a virtual environment with all packages and dependencies that are needed for applications. You can read the “official” definition, but I will try to put it in plain language.ĭocker launches applications on your computer, without the need of installing all things directly to your system. I know I promised to help you to set up the Jupyter book on your Mac, but we need to start from Docker because it is a magic tool that will do all these for you.

How to open jupyter notebook mac