![]() MORE LINESĭocker groups the commands logically into management commands. In your terminal run docker and you will see all commands: $ docker Usage: docker COMMAND A self-sufficient runtime for containers Options: -config string Location of client config files (default "/Users/shinokada/.docker") -c, -context string Name of the context to use to connect to the daemon (overrides DOCKER_HOST env var and default context set with "docker context use") -D, -debug Enable debug mode. You can read more details on this page for Mac, and Windows. Install Docker Desktop and when you start Docker you will see an icon in the menu bar. Only the difference is running the Jupyter Scipy-notebook. The second command is the same as the first one. The first command above will run the Jupyter minimal-notebook connecting the local directory to a Docker container. TL DR $ docker run -p 8888:8888 -v $(pwd):/home/jovyan/work jupyter/minimal-notebook $ docker run -p 8888:8888 -v $(pwd):/home/jovyan/work jupyter/scipy-notebook You just use a Docker container! In this article, you will learn how to run Jupyter on Docker. By using Docker, you may not need to install pyenv/pipenv/virtualenv or any programming languages on your computer. from Developing with Dockerĭocker provides a contained environment for your development. Publishing an image to Docker Hub Conclusion Introductionĭocker simplifies and accelerates your workflow, while giving developers the freedom to innovate with their choice of tools, application stacks, and deployment environments for each project. Connecting the local directory to a Docker container 8. Stopping and removing containers and images 7. Entering the Docker container and using bash 6. ![]() Image by Stefan Keller from Pixabay Table of Contents Introduction 1. ![]()
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